Mercurial > repos > iuc > scanpy_plot
changeset 0:397d2c97af05 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/scanpy/ commit 92f85afaed0097d1879317a9f513093fce5481d6
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/README.md Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,138 @@ +Scanpy +====== + +## Classification of methods into steps + +Steps: + +1. Filtering + + Methods | Description + --- | --- + `pp.filter_cells` | Filter cell outliers based on counts and numbers of genes expressed. + `pp.filter_genes` | Filter genes based on number of cells or counts. + `pp.filter_genes_dispersion` | Extract highly variable genes + `pp.highly_variable_genes` | Extract highly variable genes + `pp.subsample` | Subsample to a fraction of the number of observations + `queries.gene_coordinates` | (Could not find...) + `queries.mitochondrial_genes` | Retrieves Mitochondrial gene symbols for specific organism through BioMart for filtering + +2. Quality Plots + + These are in-between stages used to measure the effectiveness of a Filtering/Normalisation/Conf.Removal stage either after processing or prior to. + + Methods | Description | Notes + --- | --- | --- + `pp.calculate_qc_metrics` | Calculate quality control metrics + `pl.violin` | violin plot of features, lib. size, or subsets of. + `pl.stacked_violin` | Same as above but for multiple series of features or cells + +3. Normalization + + Methods | Description + --- | --- + `pp.normalize_per_cell` | Normalize total counts per cell + `pp.recipe_zheng17` | Normalization and filtering as of [Zheng17] + `pp.recipe_weinreb17` | Normalization and filtering as of [Weinreb17] + `pp.recipe_seurat` | Normalization and filtering as of Seurat [Satija15] + `pp.log1p` | Logarithmize the data matrix. + `pp.scale` | Scale data to unit variance and zero mean + `pp.sqrt` | + `pp.downsample_counts` | Downsample counts so that each cell has no more than target_counts + +4. Conf. removal + + Methods | Description + --- | --- + `pp.regress_out` | Regress out unwanted sources of variation + `pp.mnn_correct` | Correct batch effects by matching mutual nearest neighbors + `pp.dca` | Deep count autoencoder to denoise the data + `pp.magic` | Markov Affinity-based Graph Imputation of Cells (MAGIC) API to denoise + `tl.sim` | Simulate dynamic gene expression data [Wittman09] + `pp.calculate_qc_metrics` | Calculate quality control metrics + `tl.score_genes` | Score a set of genes + `tl.score_genes_cell_cycle` | Score cell cycle genes + `tl.cyclone` | Assigns scores and predicted class to observations based on cell-cycle genes [Scialdone15] + `tl.sandbag` | Calculates pairs of genes serving as markers for each cell-cycle phase [Scialdone15] + +5. Clustering and Heatmaps + + Methods | Description + --- | --- + `tl.leiden` | Cluster cells into subgroups [Traag18] [Levine15] + `tl.louvain` | Cluster cells into subgroups [Blondel08] [Levine15] [Traag17] + `tl.pca` | Principal component analysis + `pp.pca` | Principal component analysis (appears to be the same func...) + `tl.diffmap` | Diffusion Maps + `tl.tsne` | t-SNE + `tl.umap` | Embed the neighborhood graph using UMAP + `tl.phate` | PHATE + `pp.neighbors` | Compute a neighborhood graph of observations + `tl.rank_genes_groups` | Rank genes for characterizing groups + `pl.rank_genes_groups` | + `pl.rank_genes_groups_dotplot` | + `pl.rank_genes_groups_heatmap` | + `pl.rank_genes_groups_matrixplot` | + `pl.rank_genes_groups_stacked_violin` | + `pl.rank_genes_groups_violin` | + `pl.matrix_plot` | + `pl.heatmap` | + `pl.highest_expr_genes` | + `pl.diffmap` | + +6. Cluster Inspection and plotting + + Methods that draw out the clusters computed in the previous stage, not heatmap or pseudotime related. + + Methods | Description + --- | --- + `pl.clustermap` | + `pl.phate` | + `pl.dotplot` | + `pl.draw_graph` | (really general purpose, would not implement directly) + `pl.filter_genes_dispersion` | (depreciated for 'highly_variable_genes') + `pl.matrix` | (could not find in API) + `pl.pca` | + `pl.pca_loadings` | + `pl.pca_overview` | + `pl.pca_variance_ratio` | + `pl.ranking` | (not sure what this does...) + `pl.scatter` | ([very general purpose](https://icb-scanpy.readthedocs-hosted.com/en/latest/api/scanpy.api.pl.scatter.html), would not implement directly) + `pl.set_rcParams_defaults` | + `pl.set_rcParams_scanpy` | + `pl.sim` | + `pl.tsne` | + `pl.umap` | + +7. Branch/Between-Cluster Inspection + + Pseudotime analysis, relies on initial clustering. + + Methods | Description + --- | --- + `tl.dpt` | Infer progression of cells through geodesic distance along the graph [Haghverdi16] [Wolf17i] + `pl.dpt_groups_pseudotime` | + `pl.dpt_timeseries` | + `tl.paga_compare_paths` | + `tl.paga_degrees` | + `tl.paga_expression_entropies` | + `tl.paga` | Generate cellular maps of differentiation manifolds with complex topologies [Wolf17i] + `pl.paga` | + `pl.paga_adjacency` | + `pl.paga_compare` | + `pl.paga_path` | + `pl.timeseries` | + `pl.timeseries_as_heatmap` | + `pl.timeseries_subplot` | + + +Methods to sort | Description +--- | --- +`tl.ROC_AUC_analysis` | (could not find in API) +`tl.correlation_matrix` | (could not find in API) +`rtools.mnn_concatenate` | (could not find in API) +`utils.compute_association_matrix_of_groups` | (could not find in API) +`utils.cross_entropy_neighbors_in_rep` | (could not find in API) +`utils.merge_groups` | (could not find in API) +`utils.plot_category_association` | (could not find in API) +`utils.select_groups` | (could not find in API) \ No newline at end of file
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/README.rst Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,105 @@ +The different methods from Scanpy have been grouped by themes: + +1. Filter in `filter.xml` + - Filter cell outliers based on counts and numbers of genes expressed, using `pp.filter_cells` + - Filter genes based on number of cells or counts, using `pp.filter_genes` + - Extract highly variable genes, using `pp.filter_genes_dispersion` + - `tl.highly_variable_genes` (need to be added) + - Subsample to a fraction of the number of observations, using `pp.subsample` + - `queries.gene_coordinates` (need to be added) + - `queries.mitochondrial_genes` (need to be added) + +2. Normalize in `normalize.xml` + - Normalize total counts per cell, using `pp.normalize_per_cell` + - Normalization and filtering as of Zheng et al. (2017), using `pp.recipe_zheng17` + - Normalization and filtering as of Weinreb et al (2017), using `pp.recipe_weinreb17` + - Normalization and filtering as of Seurat et al (2015), using `pp.recipe_seurat` + - Logarithmize the data matrix, using `pp.log1p` + - Scale data to unit variance and zero mean, using `pp.scale` + - Square root the data matrix, using `pp.sqrt` + - Downsample counts, using `pp.downsample_counts` + +3. Remove confounder in `remove_confounders.xml` + - Regress out unwanted sources of variation, using `pp.regress_out` + - `pp.mnn_correct` (need to be added) + - `pp.mnn_correct` (need to be added) + - `pp.magic` (need to be added) + - `tl.sim` (need to be added) + - `pp.calculate_qc_metrics` (need to be added) + - Score a set of genes, using `tl.score_genes` + - Score cell cycle genes, using `tl.score_genes_cell_cycle` + - `tl.cyclone` (need to be added) + - `tl.andbag` (need to be added) + +4. Cluster and reduce dimension in `cluster_reduce_dimension.xml` + - `tl.leiden` (need to be added) + - Cluster cells into subgroups, using `tl.louvain` + - Computes PCA (principal component analysis) coordinates, loadings and variance decomposition, using `pp.pca` + - Computes PCA (principal component analysis) coordinates, loadings and variance decomposition, using `tl.pca` + - Diffusion Maps, using `tl.diffmap` + - t-distributed stochastic neighborhood embedding (tSNE), using `tl.tsne` + - Embed the neighborhood graph using UMAP, using `tl.umap` + - `tl.phate` (need to be added) + - Compute a neighborhood graph of observations, using `pp.neighbors` + - Rank genes for characterizing groups, using `tl.rank_genes_groups` + +4. Inspect + - `tl.paga_compare_paths` (need to be added) + - `tl.paga_degrees` (need to be added) + - `tl.paga_expression_entropies` (need to be added) + - Generate cellular maps of differentiation manifolds with complex topologies, using `tl.paga` + - Infer progression of cells through geodesic distance along the graph, using `tl.dpt` + +5. Plot + 1. Generic + - Scatter plot along observations or variables axes, using `pl.scatter` + - Heatmap of the expression values of set of genes, using `pl.heatmap` + - Makes a dot plot of the expression values, using `pl.dotplot` + - Violin plot, using `pl.violin` + - `pl.stacked_violin` (need to be added) + - Heatmap of the mean expression values per cluster, using `pl.matrixplot` + - Hierarchically-clustered heatmap, using `pl.clustermap` + - `pl.ranking` + + 2. Preprocessing + - Plot the fraction of counts assigned to each gene over all cells, using `pl.highest_expr_genes` + - Plot dispersions versus means for genes, using `pl.filter_genes_dispersion` + - `pl.highly_variable_genes` (need to be added) + - `pl.calculate_qc_metrics` (need to be added) + + 3. PCA + - Scatter plot in PCA coordinates, using `pl.pca` + - Rank genes according to contributions to PCs, using `pl.pca_loadings` + - Scatter plot in PCA coordinates, using `pl.pca_variance_ratio` + - Plot PCA results, using `pl.pca_overview` + + 4. Embeddings + - Scatter plot in tSNE basis, using `pl.tsne` + - Scatter plot in UMAP basis, using `pl.umap` + - Scatter plot in Diffusion Map basis, using `pl.diffmap` + - `pl.draw_graph` (need to be added) + + 5. Branching trajectories and pseudotime, clustering + - Plot groups and pseudotime, using `pl.dpt_groups_pseudotime` + - Heatmap of pseudotime series, using `pl.dpt_timeseries` + - Plot the abstracted graph through thresholding low-connectivity edges, using `pl.paga` + - `pl.paga_compare` (need to be added) + - `pl.paga_path` (need to be added) + + 6. Marker genes: + - Plot ranking of genes using dotplot plot, using `pl.rank_gene_groups` + - `pl.rank_genes_groups_dotplot` (need to be added) + - `pl.rank_genes_groups_heatmap` (need to be added) + - `pl.rank_genes_groups_matrixplot` (need to be added) + - `pl.rank_genes_groups_stacked_violin` (need to be added) + - `pl.rank_genes_groups_violin` (need to be added) + + 7. Misc + - `pl.phate` (need to be added) + - `pl.matrix` (need to be added) + - `pl.paga_adjacency` (need to be added) + - `pl.timeseries` (need to be added) + - `pl.timeseries_as_heatmap` (need to be added) + - `pl.timeseries_subplot` (need to be added) + + \ No newline at end of file
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/macros.xml Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,1084 @@ +<macros> + <token name="@version@">1.4</token> + <token name="@galaxy_version@"><![CDATA[@version@+galaxy0]]></token> + <xml name="requirements"> + <requirements> + <requirement type="package" version="@version@">scanpy</requirement> + <requirement type="package" version="2.0.17">loompy</requirement> + <yield /> + </requirements> + </xml> + <xml name="citations"> + <citations> + <citation type="doi">10.1186/s13059-017-1382-0</citation> + </citations> + </xml> + <xml name="version_command"> + <version_command><![CDATA[python -c "import scanpy.api as sc;print('scanpy version: %s' % sc.__version__)"]]></version_command> + </xml> + <token name="@CMD@"><![CDATA[ +cat '$script_file' && +python '$script_file' + ]]> + </token> + <token name="@CMD_imports@"><![CDATA[ +import scanpy.api as sc +import pandas as pd +import numpy as np + ]]> + </token> + <xml name="inputs_anndata"> + <conditional name="input"> + <param name="format" type="select" label="Format for the annotated data matrix"> + <option value="loom">loom</option> + <option value="h5ad">h5ad-formatted hdf5 (anndata)</option> + </param> + <when value="loom"> + <param name="adata" type="data" format="loom" label="Annotated data matrix"/> + <param name="sparse" type="boolean" truevalue="True" falsevalue="False" checked="true" label="Is the data matrix to read sparse?"/> + <param name="cleanup" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Cleanup?"/> + <param name="x_name" type="text" value="spliced" label="X_name"/> + <param name="obs_names" type="text" value="CellID" label="obs_names"/> + <param name="var_names" type="text" value="Gene" label="var_names"/> + </when> + <when value="h5ad"> + <param name="adata" type="data" format="h5" label="Annotated data matrix"/> + </when> + </conditional> + </xml> + <token name="@CMD_read_inputs@"><![CDATA[ +#if $input.format == 'loom' +adata = sc.read_loom( + '$input.adata', + sparse=$input.sparse, + cleanup=$input.cleanup, + X_name='$input.x_name', + obs_names='$input.obs_names', + var_names='$input.var_names') +#else if $input.format == 'h5ad' +adata = sc.read_h5ad('$input.adata') +#end if +]]> + </token> + <xml name="anndata_output_format"> + <param name="anndata_output_format" type="select" label="Format to write the annotated data matrix"> + <option value="loom">loom</option> + <option value="h5ad">h5ad-formatted hdf5 (anndata)</option> + </param> + </xml> + <xml name="anndata_modify_output_input"> + <conditional name="modify_anndata"> + <param name="modify_anndata" type="select" label="Return modify annotate data matrix?"> + <option value="true">Yes</option> + <option value="false">No</option> + </param> + <when value="true"> + <expand macro="anndata_output_format"/> + </when> + <when value="false"/> + </conditional> + </xml> + <xml name="anndata_outputs"> + <data name="anndata_out_h5ad" format="h5" from_work_dir="anndata.h5ad" label="${tool.name} on ${on_string}: Annotated data matrix"> + <filter>anndata_output_format == 'h5ad'</filter> + </data> + <data name="anndata_out_loom" format="loom" from_work_dir="anndata.loom" label="${tool.name} on ${on_string}: Annotated data matrix"> + <filter>anndata_output_format == 'loom'</filter> + </data> + </xml> + <xml name="anndata_modify_outputs"> + <data name="anndata_out_h5ad" format="h5" from_work_dir="anndata.h5ad" label="${tool.name} on ${on_string}: Annotated data matrix"> + <filter>modify_anndata['modify_anndata'] == 'true' and modify_anndata['anndata_output_format'] == 'h5ad'</filter> + </data> + <data name="anndata_out_loom" format="loom" from_work_dir="anndata.loom" label="${tool.name} on ${on_string}: Annotated data matrix"> + <filter>modify_anndata['modify_anndata'] == 'true' and modify_anndata['anndata_output_format'] == 'loom'</filter> + </data> + </xml> + <token name="@CMD_anndata_write_outputs@"><![CDATA[ +#if $anndata_output_format == 'loom' +adata.write_loom('anndata.loom') +#else if $anndata_output_format == 'h5ad' +adata.write('anndata.h5ad') +#end if +]]> + </token> + <token name="@CMD_anndata_write_modify_outputs@"><![CDATA[ +#if $modify_anndata.modify_anndata == 'true' + #if $modify_anndata.anndata_output_format == 'loom' +adata.write_loom('anndata.loom') + #elif $modify_anndata.anndata_output_format == 'h5ad' +adata.write('anndata.h5ad') + #end if +#end if +]]> + </token> + <xml name="svd_solver"> + <param name="svd_solver" type="select" label="SVD solver to use" help=""> + <option value="auto">Automatically chosen depending on the size of the problem</option> + <option value="arpack">ARPACK wrapper in SciPy</option> + <option value="randomized">Randomized algorithm due to Halko (2009)</option> + </param> + </xml> + <xml name="pca_random_state"> + <param name="random_state" type="integer" value="0" label="Initial states for the optimization" help=""/> + </xml> + <xml name="param_plot_format"> + <param name="format" type="select" label="Format for saving figures"> + <option value="png">png</option> + <option value="pdf">pdf</option> + <option value="svg">svg</option> + </param> + </xml> + <xml name="numeric_distance_metric_options"> + <option value="braycurtis">braycurtis</option> + <option value="canberra">canberra</option> + <option value="chebyshev">chebyshev</option> + <option value="cityblock">cityblock</option> + <option value="correlation">correlation</option> + <option value="cosine">cosine</option> + <option value="euclidean" selected="true">euclidean</option> + <option value="mahalanobis">mahalanobis</option> + <option value="matching">matching</option> + <option value="minkowski">minkowski</option> + <option value="seuclidean">seuclidean</option> + <option value="sqeuclidean">sqeuclidean</option> + <option value="wminkowski">wminkowski</option> + </xml> + <xml name="boolean_distance_metric_options"> + <option value="dice">dice</option> + <option value="hamming">hamming</option> + <option value="jaccard">jaccard</option> + <option value="kulsinski">kulsinski</option> + <option value="rogerstanimoto">rogerstanimoto</option> + <option value="russellrao">russellrao</option> + <option value="sokalmichener">sokalmichener</option> + <option value="sokalsneath">sokalsneath</option> + <option value="yule">yule</option> + </xml> + <xml name="distance_metric_options"> + <expand macro="numeric_distance_metric_options"/> + <expand macro="boolean_distance_metric_options"/> + </xml> + <xml name="seaborn_color_palette_options"> + <option value="Accent">Accent</option> + <option value="Accent_r">Accent_r</option> + <option value="Blues">Blues</option> + <option value="Blues_r">Blues_r</option> + <option value="BrBG">BrBG</option> + <option value="BrBG_r">BrBG_r</option> + <option value="BuGn">BuGn</option> + <option value="BuGn_r">BuGn_r</option> + <option value="BuPu">BuPu</option> + <option value="BuPu_r">BuPu_r</option> + <option value="CMRmap">CMRmap</option> + <option value="CMRmap_r">CMRmap_r</option> + <option value="Dark2">Dark2</option> + <option value="Dark2_r">Dark2_r</option> + <option value="GnBu">GnBu</option> + <option value="GnBu_r">GnBu_r</option> + <option value="Greens">Greens</option> + <option value="Greens_r">Greens_r</option> + <option value="Greys">Greys</option> + <option value="Greys_r">Greys_r</option> + <option value="OrRd">OrRd</option> + <option value="OrRd_r">OrRd_r</option> + <option value="Oranges">Oranges</option> + <option value="Oranges_r">Oranges_r</option> + <option value="PRGn">PRGn</option> + <option value="PRGn_r">PRGn_r</option> + <option value="Paired">Paired</option> + <option value="Paired_r">Paired_r</option> + <option value="Pastel1">Pastel1</option> + <option value="Pastel1_r">Pastel1_r</option> + <option value="Pastel2">Pastel2</option> + <option value="Pastel2_r">Pastel2_r</option> + <option value="PiYG">PiYG</option> + <option value="PiYG_r">PiYG_r</option> + <option value="PuBu">PuBu</option> + <option value="PuBuGn">PuBuGn</option> + <option value="PuBuGn_r">PuBuGn_r</option> + <option value="PuBu_r">PuBu_r</option> + <option value="PuOr">PuOr</option> + <option value="PuOr_r">PuOr_r</option> + <option value="PuRd">PuRd</option> + <option value="PuRd_r">PuRd_r</option> + <option value="Purples">Purples</option> + <option value="Purples_r">Purples_r</option> + <option value="RdBu">RdBu</option> + <option value="RdBu_r">RdBu_r</option> + <option value="RdGy">RdGy</option> + <option value="RdPu">RdPu</option> + <option value="RdPu_r">RdPu_r</option> + <option value="RdYlBu">RdYlBu</option> + <option value="RdYlBu_r">RdYlBu_r</option> + <option value="RdYlGn">RdYlGn</option> + <option value="RdYlGn_r">RdYlGn_r</option> + <option value="Reds">Reds</option> + <option value="Reds_r">Reds_r</option> + <option value="Set1">Set1</option> + <option value="Set1_r">Set1_r</option> + <option value="Set2">Set2</option> + <option value="Set2_r">Set2_r</option> + <option value="Set3">Set3</option> + <option value="Set3_r">Set3_r</option> + <option value="Spectral">Spectral</option> + <option value="Spectral_r">Spectral_r</option> + <option value="Wistia">Wistia</option> + <option value="Wistia_r">Wistia_r</option> + <option value="YlGn">YlGn</option> + <option value="YlGn_r">YlGn_r</option> + <option value="YlGnBu">YlGnBu</option> + <option value="YlGnBu_r">YlGnBu_r</option> + <option value="YlOrBr">YlOrBr</option> + <option value="YlOrBr_r">YlOrBr_r</option> + <option value="YlOrRd">YlOrRd</option> + <option value="YlOrRd_r">YlOrRd_r</option> + <option value="afmhot">afmhot</option> + <option value="afmhot_r">afmhot_r</option> + <option value="autumn">autumn</option> + <option value="autumn_r">autumn_r</option> + <option value="binary">binary</option> + <option value="binary_r">binary_r</option> + <option value="bone">bone</option> + <option value="bone_r">bone_r</option> + <option value="brg">brg</option> + <option value="brg_r">brg_r</option> + <option value="bwr">bwr</option> + <option value="bwr_r">bwr_r</option> + <option value="cividis">cividis</option> + <option value="cividis_r">cividis_r</option> + <option value="cool">cool</option> + <option value="cool_r">cool_r</option> + <option value="coolwarm">coolwarm</option> + <option value="coolwarm_r">coolwarm_r</option> + <option value="copper">copper</option> + <option value="copper_r">copper_r</option> + <option value="cubehelix">cubehelix</option> + <option value="cubehelix_r">cubehelix_r</option> + <option value="flag">flag</option> + <option value="flag_r">flag_r</option> + <option value="gist_earth">gist_earth</option> + <option value="gist_earth_r">gist_earth_r</option> + <option value="gist_gray">gist_gray</option> + <option value="gist_gray_r">gist_gray_r</option> + <option value="gist_heat">gist_heat</option> + <option value="gist_heat_r">gist_heat_r</option> + <option value="gist_ncar">gist_ncar</option> + <option value="gist_ncar_r">gist_ncar_r</option> + <option value="gist_rainbow">gist_rainbow</option> + <option value="gist_rainbow_r">gist_rainbow_r</option> + <option value="gist_stern">gist_stern</option> + <option value="gist_stern_r">gist_stern_r</option> + <option value="gist_yarg">gist_yarg</option> + <option value="gist_yarg_r">gist_yarg_r</option> + <option value="gnuplot">gnuplot</option> + <option value="gnuplot_r">gnuplot_r</option> + <option value="gnuplot2">gnuplot2</option> + <option value="gnuplot2_r">gnuplot2_r</option> + <option value="gray">gray</option> + <option value="gray_r">gray_r</option> + <option value="hot">hot</option> + <option value="hot_r">hot_r</option> + <option value="hsv">hsv</option> + <option value="hsv_r">hsv_r</option> + <option value="icefire">icefire</option> + <option value="icefire_r">icefire_r</option> + <option value="inferno">inferno</option> + <option value="inferno_r">inferno_r</option> + <option value="jet">jet</option> + <option value="jet_r">jet_r</option> + <option value="magma">magma</option> + <option value="magma_r">magma_r</option> + <option value="mako">mako</option> + <option value="mako_r">mako_r</option> + <option value="nipy_spectral">nipy_spectral</option> + <option value="nipy_spectral_r">nipy_spectral_r</option> + <option value="ocean">ocean</option> + <option value="ocean_r">ocean_r</option> + <option value="pink">pink</option> + <option value="pink_r">pink_r</option> + <option value="plasma">plasma</option> + <option value="plasma_r">plasma_r</option> + <option value="prism">prism</option> + <option value="prism_r">prism_r</option> + <option value="rainbow">rainbow</option> + <option value="rainbow_r">rainbow_r</option> + <option value="rocket">rocket</option> + <option value="rocket_r">rocket_r</option> + <option value="seismic">seismic</option> + <option value="seismic_r">seismic_r</option> + <option value="spring">spring</option> + <option value="spring_r">spring_r</option> + <option value="summer">summer</option> + <option value="summer_r">summer_r</option> + <option value="tab10">tab10</option> + <option value="tab10_r">tab10_r</option> + <option value="tab20">tab20</option> + <option value="tab20_r">tab20_r</option> + <option value="tab20b">tab20b</option> + <option value="tab20b_r">tab20b_r</option> + <option value="tab20c">tab20c</option> + <option value="tab20c_r">tab20c_r</option> + <option value="terrain">terrain</option> + <option value="terrain_r">terrain_r</option> + <option value="twilight">twilight</option> + <option value="twilight_r">twilight_r</option> + <option value="twilight_shifted">twilight_shifted</option> + <option value="twilight_shifted_r">twilight_shifted_r</option> + <option value="viridis">viridis</option> + <option value="viridis_r">viridis_r</option> + <option value="vlag">vlag</option> + <option value="vlag_r">vlag_r</option> + <option value="winter">winter</option> + <option value="winter_r">winter_r</option> + </xml> + <xml name="matplotlib_pyplot_colormap"> + <option value="viridis">viridis (Perceptually Uniform Sequential)</option> + <option value="plasma">plasma (Perceptually Uniform Sequential)</option> + <option value="inferno">inferno (Perceptually Uniform Sequential)</option> + <option value="magma">magma (Perceptually Uniform Sequential)</option> + <option value="cividis">cividis (Perceptually Uniform Sequential)</option> + <option value="Greys">Greys (Sequential)</option> + <option value="Purples">Purples (Sequential)</option> + <option value="Blues">Blues (Sequential)</option> + <option value="Greens">Greens (Sequential)</option> + <option value="Oranges">Oranges (Sequential)</option> + <option value="Reds">Reds (Sequential)</option> + <option value="YlOrBr">YlOrBr (Sequential)</option> + <option value="YlOrRd">YlOrRd (Sequential)</option> + <option value="OrRd">OrRd (Sequential)</option> + <option value="PuRd">PuRd (Sequential)</option> + <option value="RdPu">RdPu (Sequential)</option> + <option value="BuPu">BuPu (Sequential)</option> + <option value="GnBu">GnBu (Sequential)</option> + <option value="PuBu">PuBu (Sequential)</option> + <option value="YlGnBu">YlGnBu (Sequential)</option> + <option value="PuBuGn">PuBuGn (Sequential)</option> + <option value="BuGn">BuGn (Sequential)</option> + <option value="YlGn">YlGn (Sequential)</option> + <option value="binary">binary (Sequential 2)</option> + <option value="gist_yarg">gist_yarg (Sequential 2)</option> + <option value="gist_gray">gist_gray (Sequential 2)</option> + <option value="gray">gray (Sequential 2)</option> + <option value="bone">bone (Sequential 2)</option> + <option value="pink">pink (Sequential 2)</option> + <option value="spring">spring (Sequential 2)</option> + <option value="summer">summer (Sequential 2)</option> + <option value="autumn">autumn (Sequential 2)</option> + <option value="winter">winter (Sequential 2)</option> + <option value="cool">cool (Sequential 2)</option> + <option value="Wistia">Wistia (Sequential 2)</option> + <option value="hot">hot (Sequential 2)</option> + <option value="afmhot">afmhot (Sequential 2)</option> + <option value="gist_heat">gist_heat (Sequential 2)</option> + <option value="copper">copper (Sequential 2)</option> + <option value="PiYG">PiYG (Diverging)</option> + <option value="PRGn">PRGn (Diverging)</option> + <option value="BrBG">BrBG (Diverging)</option> + <option value="PuOr">PuOr (Diverging)</option> + <option value="RdGy">RdGy (Diverging)</option> + <option value="RdBu">RdBu (Diverging)</option> + <option value="RdYlBu">RdYlBu (Diverging)</option> + <option value="RdYlGn">RdYlGn (Diverging)</option> + <option value="Spectral">Spectral (Diverging)</option> + <option value="coolwarm">coolwarm (Diverging)</option> + <option value="bwr">bwr (Diverging)</option> + <option value="seismic">seismic (Diverging)</option> + <option value="twilight">twilight (Cyclic)</option> + <option value="twilight_shifted">twilight_shifted (Cyclic)</option> + <option value="hsv">hsv (Cyclic)</option> + <option value="Pastel1">Pastel1 (Qualitative)</option> + <option value="Pastel2">Pastel2 (Qualitative)</option> + <option value="Paired">Paired (Qualitative)</option> + <option value="Accent">Accent (Qualitative)</option> + <option value="Dark2">Dark2 (Qualitative)</option> + <option value="Set1">Set1 (Qualitative)</option> + <option value="Set2">Set2 (Qualitative)</option> + <option value="Set3">Set3 (Qualitative)</option> + <option value="tab10">tab10 (Qualitative)</option> + <option value="tab20">tab20 (Qualitative)</option> + <option value="tab20b">tab20b (Qualitative)</option> + <option value="tab20c">tab20c (Qualitative)</option> + <option value="flag">flag (Miscellaneous)</option> + <option value="prism">prism (Miscellaneous)</option> + <option value="ocean">ocean (Miscellaneous)</option> + <option value="gist_earth">gist_earth (Miscellaneous)</option> + <option value="terrain">terrain (Miscellaneous)</option> + <option value="gist_stern">gist_stern (Miscellaneous)</option> + <option value="gnuplot">gnuplot (Miscellaneous)</option> + <option value="gnuplot2">gnuplot2 (Miscellaneous)</option> + <option value="CMRmap">CMRmap (Miscellaneous)</option> + <option value="cubehelix">cubehelix (Miscellaneous)</option> + <option value="brg">brg (Miscellaneous)</option> + <option value="gist_rainbow">gist_rainbow (Miscellaneous)</option> + <option value="rainbow">rainbow (Miscellaneous)</option> + <option value="jet">jet (Miscellaneous)</option> + <option value="nipy_spectral">nipy_spectral (Miscellaneous)</option> + <option value="gist_ncar">gist_ncar (Miscellaneous)</option> + </xml> + <xml name="param_groupby"> + <param argument="groupby" type="text" value="" optional="true" label="The key of the observation grouping to consider" help="If it is given, the heatmap is ordered by the respective group. It is expected that to be a categorical. If it is not a categorical observation, it would be subdivided into `num_categories`."/> + </xml> + <xml name="param_use_raw"> + <param argument="use_raw" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Use `raw` attribute of input if present" help=""/> + </xml> + <xml name="param_log"> + <param argument="log" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Use the log of the values?" help=""/> + </xml> + <xml name="pl_figsize"> + <conditional name="figsize"> + <param name="test" type="select" label="Custom figure size" > + <option value="yes">Yes</option> + <option value="no" selected="true">No: the figure width is set based on the number of variable names and the height is set to 10.</option> + </param> + <when value="yes"> + <param argument="width" type="integer" min="0" value="10" label="Figure width" help=""/> + <param argument="height" type="integer" min="0" value="10" label="Figure height" help=""/> + </when> + <when value="no"/> + </conditional> + </xml> + <token name="@CMD_params_figsize@"><![CDATA[ + + ]]></token> + <xml name="pl_var_names"> + <conditional name="var_names"> + <param name="type" type="select" label="Variables to plot (columns of the heatmaps)" > + <option value="all">All variables in `adata.var_names`</option> + <option value="custom">Subset of variables in `adata.var_names`</option> + </param> + <when value="all"/> + <when value="custom"> + <param argument="var_names" type="text" value="" label="List of variables to plot" help="They should be a valid subset of `adata.var_names`, and separated by comma"/> + </when> + </conditional> + </xml> + <xml name="param_num_categories"> + <param argument="num_categories" type="integer" min="0" value="7" label="Number of categories" help="It is only used if groupby observation is not categorical. This value determines the number of groups into which the groupby observation should be subdivided."/> + </xml> + <xml name="param_dendrogram"> + <param argument="dendrogram" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Compute and plot a dendrogram?" help="groupby categories are reordered accoring to the dendrogram order. If groups of var_names are set and those groups correspond to the groupby categories, those groups are also reordered. The ‘person’ method is used to compute the pairwise correlation between categories using all var_names in raw if use_raw is None, otherwise all adata.var_names are used. The linkage method used is complete."/> + </xml> + <xml name="pl_var_group_positions"> + <repeat name="var_group_positions" title="Group of variables to highlight" help="This will draw a 'bracket' on top of the plot between the given start and end positions. If a label is given, it will be added on top of the bracket. "> + <param name="start" type="integer" min="0" value="" label="Start" help=""/> + <param name="end" type="integer" min="0" value="" label="End" help=""/> + <param argument="label" type="text" value="" label="Label" help=""/> + </repeat> + </xml> + <xml name="param_var_group_rotation"> + <param argument="var_group_rotation" type="float" value="" optional="true" label="Label rotation degrees" help="By default, labels larger than 4 characters are rotated 90 degrees"/> + </xml> + <xml name="param_layer"> + <param argument="layer" type="text" value="" label="Name of the AnnData object layer that wants to be plotted" help="By default `adata.raw.X` is plotted. If `use_raw=False` is set, then `adata.X` is plotted. If layer is set to a valid layer name, then the layer is plotted. layer takes precedence over `use_raw`."/> + </xml> + <token name="@CMD_param_plot_inputs@"><![CDATA[ + adata=adata, + save='.$format', + show=False, + ]]></token> + <xml name="params_plots"> + <expand macro="pl_var_names"/> + <expand macro="param_groupby"/> + <expand macro="param_log"/> + <expand macro="param_use_raw"/> + <expand macro="param_num_categories"/> + <expand macro="param_dendrogram"/> + <expand macro="pl_var_group_positions"/> + <expand macro="param_var_group_rotation"/> + <expand macro="pl_figsize"/> + <expand macro="param_layer"/> + </xml> + <token name="@CMD_params_plots@"><![CDATA[ +#if $method.var_names.type == 'all' + var_names=adata.var_names, +#else + #set $var_names = ([x.strip() for x in str($method.var_names.var_names).split(',')]) + var_names=$var_names, +#end if +#if str($method.groupby) != '' + groupby='$method.groupby', +#end if + log=$method.log, + use_raw=$method.use_raw, + num_categories=$method.num_categories, + dendrogram=$method.dendrogram, + #if len($method.var_group_positions) > 0: + #set $var_group_positions=[] + #set $var_group_labels=[] + #for $i, $s in enumerate($method.var_group_positions) + #silent $var_group_positions.append((int($s.start), int($s.end))) + #silent $var_group_labels.append(str($s.label)) + #end for + var_group_positions=$var_group_positions, + var_group_labels=$var_group_labels, + #else + var_group_positions=None, + var_group_labels=None, + #end if +#if $method.var_group_rotation + var_group_rotation=$method.var_group_rotation, +#end if +#if $method.figsize.test == 'yes' + figsize=($method.figsize.width, $method.figsize.height), +#end if +#if $method.layer != '' + layer='$method.layer', +#end if + ]]></token> + <xml name="matplotlib_color"> + <option value="AliceBlue">AliceBlue</option> + <option value="AntiqueWhite">AntiqueWhite</option> + <option value="Aqua">Aqua</option> + <option value="Aquamarine">Aquamarine</option> + <option value="Azure">Azure</option> + <option value="Beige">Beige</option> + <option value="Bisque">Bisque</option> + <option value="Black">Black</option> + <option value="BlanchedAlmond">BlanchedAlmond</option> + <option value="Blue">Blue</option> + <option value="BlueViolet">BlueViolet</option> + <option value="Brown">Brown</option> + <option value="BurlyWood">BurlyWood</option> + <option value="CadetBlue">CadetBlue</option> + <option value="Chartreuse">Chartreuse</option> + <option value="Chocolate">Chocolate</option> + <option value="Coral">Coral</option> + <option value="CornflowerBlue">CornflowerBlue</option> + <option value="Cornsilk">Cornsilk</option> + <option value="Crimson">Crimson</option> + <option value="Cyan">Cyan</option> + <option value="DarkBlue">DarkBlue</option> + <option value="DarkCyan">DarkCyan</option> + <option value="DarkGoldenRod">DarkGoldenRod</option> + <option value="DarkGray">DarkGray</option> + <option value="DarkGrey">DarkGrey</option> + <option value="DarkGreen">DarkGreen</option> + <option value="DarkKhaki">DarkKhaki</option> + <option value="DarkMagenta">DarkMagenta</option> + <option value="DarkOliveGreen">DarkOliveGreen</option> + <option value="DarkOrange">DarkOrange</option> + <option value="DarkOrchid">DarkOrchid</option> + <option value="DarkRed">DarkRed</option> + <option value="DarkSalmon">DarkSalmon</option> + <option value="DarkSeaGreen">DarkSeaGreen</option> + <option value="DarkSlateBlue">DarkSlateBlue</option> + <option value="DarkSlateGray">DarkSlateGray</option> + <option value="DarkSlateGrey">DarkSlateGrey</option> + <option value="DarkTurquoise">DarkTurquoise</option> + <option value="DarkViolet">DarkViolet</option> + <option value="DeepPink">DeepPink</option> + <option value="DeepSkyBlue">DeepSkyBlue</option> + <option value="DimGray">DimGray</option> + <option value="DimGrey">DimGrey</option> + <option value="DodgerBlue">DodgerBlue</option> + <option value="FireBrick">FireBrick</option> + <option value="FloralWhite">FloralWhite</option> + <option value="ForestGreen">ForestGreen</option> + <option value="Fuchsia">Fuchsia</option> + <option value="Gainsboro">Gainsboro</option> + <option value="GhostWhite">GhostWhite</option> + <option value="Gold">Gold</option> + <option value="GoldenRod">GoldenRod</option> + <option value="Gray">Gray</option> + <option value="Grey">Grey</option> + <option value="Green">Green</option> + <option value="GreenYellow">GreenYellow</option> + <option value="HoneyDew">HoneyDew</option> + <option value="HotPink">HotPink</option> + <option value="IndianRed">IndianRed</option> + <option value="Indigo">Indigo</option> + <option value="Ivory">Ivory</option> + <option value="Khaki">Khaki</option> + <option value="Lavender">Lavender</option> + <option value="LavenderBlush">LavenderBlush</option> + <option value="LawnGreen">LawnGreen</option> + <option value="LemonChiffon">LemonChiffon</option> + <option value="LightBlue">LightBlue</option> + <option value="LightCoral">LightCoral</option> + <option value="LightCyan">LightCyan</option> + <option value="LightGoldenRodYellow">LightGoldenRodYellow</option> + <option value="LightGray">LightGray</option> + <option value="LightGrey">LightGrey</option> + <option value="LightGreen">LightGreen</option> + <option value="LightPink">LightPink</option> + <option value="LightSalmon">LightSalmon</option> + <option value="LightSeaGreen">LightSeaGreen</option> + <option value="LightSkyBlue">LightSkyBlue</option> + <option value="LightSlateGray">LightSlateGray</option> + <option value="LightSlateGrey">LightSlateGrey</option> + <option value="LightSteelBlue">LightSteelBlue</option> + <option value="LightYellow">LightYellow</option> + <option value="Lime">Lime</option> + <option value="LimeGreen">LimeGreen</option> + <option value="Linen">Linen</option> + <option value="Magenta">Magenta</option> + <option value="Maroon">Maroon</option> + <option value="MediumAquaMarine">MediumAquaMarine</option> + <option value="MediumBlue">MediumBlue</option> + <option value="MediumOrchid">MediumOrchid</option> + <option value="MediumPurple">MediumPurple</option> + <option value="MediumSeaGreen">MediumSeaGreen</option> + <option value="MediumSlateBlue">MediumSlateBlue</option> + <option value="MediumSpringGreen">MediumSpringGreen</option> + <option value="MediumTurquoise">MediumTurquoise</option> + <option value="MediumVioletRed">MediumVioletRed</option> + <option value="MidnightBlue">MidnightBlue</option> + <option value="MintCream">MintCream</option> + <option value="MistyRose">MistyRose</option> + <option value="Moccasin">Moccasin</option> + <option value="NavajoWhite">NavajoWhite</option> + <option value="Navy">Navy</option> + <option value="OldLace">OldLace</option> + <option value="Olive">Olive</option> + <option value="OliveDrab">OliveDrab</option> + <option value="Orange">Orange</option> + <option value="OrangeRed">OrangeRed</option> + <option value="Orchid">Orchid</option> + <option value="PaleGoldenRod">PaleGoldenRod</option> + <option value="PaleGreen">PaleGreen</option> + <option value="PaleTurquoise">PaleTurquoise</option> + <option value="PaleVioletRed">PaleVioletRed</option> + <option value="PapayaWhip">PapayaWhip</option> + <option value="PeachPuff">PeachPuff</option> + <option value="Peru">Peru</option> + <option value="Pink">Pink</option> + <option value="Plum">Plum</option> + <option value="PowderBlue">PowderBlue</option> + <option value="Purple">Purple</option> + <option value="RebeccaPurple">RebeccaPurple</option> + <option value="Red">Red</option> + <option value="RosyBrown">RosyBrown</option> + <option value="RoyalBlue">RoyalBlue</option> + <option value="SaddleBrown">SaddleBrown</option> + <option value="Salmon">Salmon</option> + <option value="SandyBrown">SandyBrown</option> + <option value="SeaGreen">SeaGreen</option> + <option value="SeaShell">SeaShell</option> + <option value="Sienna">Sienna</option> + <option value="Silver">Silver</option> + <option value="SkyBlue">SkyBlue</option> + <option value="SlateBlue">SlateBlue</option> + <option value="SlateGray">SlateGray</option> + <option value="SlateGrey">SlateGrey</option> + <option value="Snow">Snow</option> + <option value="SpringGreen">SpringGreen</option> + <option value="SteelBlue">SteelBlue</option> + <option value="Tan">Tan</option> + <option value="Teal">Teal</option> + <option value="Thistle">Thistle</option> + <option value="Tomato">Tomato</option> + <option value="Turquoise">Turquoise</option> + <option value="Violet">Violet</option> + <option value="Wheat">Wheat</option> + <option value="White">White</option> + <option value="WhiteSmoke">WhiteSmoke</option> + <option value="Yellow">Yellow</option> + <option value="YellowGreen">YellowGreen</option> + </xml> + <xml name="param_matplotlib_pyplot_edgecolors"> + <param argument="edgecolors" type="select" label="Edge color of the marker" help=""> + <option value="face">The edge color will always be the same as the face color</option> + <option value="none">No patch boundary will be drawn</option> + <expand macro="matplotlib_color"/> + </param> + </xml> + <xml name="param_alpha"> + <param argument="alpha" type="float" value="" min="0" max="1" optional="true" label="Alpha blending value" help="Between 0 (transparent) and 1 (opaque)"/> + </xml> + <xml name="param_vmin"> + <param argument="vmin" type="float" value="" optional="true" label="Minimum value to normalize luminance data" help="If not set, it is inferred from the data and other keyword arguments"/> + </xml> + <xml name="param_vmax"> + <param argument="vmax" type="float" value="" optional="true" label="Maximum value to normalize luminance data" help="If not set, it is inferred from the data and other keyword arguments"/> + </xml> + <xml name="section_matplotlib_pyplot_scatter"> + <section name="matplotlib_pyplot_scatter" title="Parameters for matplotlib.pyplot.scatter"> + <!--<param argument="marker" type="select" label="Marker style" help=""> + <option value="o">o</option> + <option value="v">v</option> + <option value="^">^</option> + <option value="8">8</option> + <option value="s">s</option> + <option value="p">p</option> + <option value="*">*</option> + <option value="h">h</option> + <option value="H">H</option> + <option value="D">D</option> + <option value="d">d</option> + <option value="P">P</option> + <option value="X">X</option> + </param>--> + <expand macro="param_alpha"/> + <expand macro="param_vmin"/> + <expand macro="param_vmax"/> + <param argument="linewidths" type="float" value="0" label="Linewidth of the marker edges" help=""/> + <expand macro="param_matplotlib_pyplot_edgecolors"/> + </section> + </xml> + <token name="@CMD_params_matplotlib_pyplot_scatter@"><![CDATA[ + #if $method.matplotlib_pyplot_scatter.vmin + vmin=$method.matplotlib_pyplot_scatter.vmin, + #end if + #if $method.matplotlib_pyplot_scatter.vmax + vmax=$method.matplotlib_pyplot_scatter.vmax, + #end if + #if $method.matplotlib_pyplot_scatter.alpha + alpha=$method.matplotlib_pyplot_scatter.alpha, + #end if + linewidths=$method.matplotlib_pyplot_scatter.linewidths, + edgecolors='$method.matplotlib_pyplot_scatter.edgecolors' + ]]></token> + <xml name="section_violin_plots"> + <section name="violin_plot" title="Violin plot attributes"> + <conditional name="stripplot"> + <param argument="stripplot" type="select" label="Add a stripplot on top of the violin plot" help=""> + <option value="True">Yes</option> + <option value="False">No</option> + </param> + <when value="True"> + <conditional name="jitter"> + <param argument="jitter" type="select" label="Add a jitter to the stripplot" help=""> + <option value="True">Yes</option> + <option value="False">No</option> + </param> + <when value="True"> + <param argument="size" type="integer" min="0" value="1" label="Size of the jitter points" help=""/> + </when> + <when value="False"/> + </conditional> + </when> + <when value="False"/> + </conditional> + <conditional name="multi_panel"> + <param argument="multi_panel" type="select" label="Display keys in multiple panels" help="Also when `groupby is not provided"> + <option value="True">Yes</option> + <option value="False" selected="true">No</option> + </param> + <when value="True"> + <param argument="width" type="integer" min="0" value="" optional="true" label="Width of the figure" help=""/> + <param argument="height" type="integer" min="0" value="" optional="true" label="Height of the figure" help=""/> + </when> + <when value="False"/> + </conditional> + <param argument="scale" type="select" label="Method used to scale the width of each violin"> + <option value="area">area: each violin will have the same area</option> + <option value="count">count: the width of the violins will be scaled by the number of observations in that bin</option> + <option value="width" selected="true">width: each violin will have the same width</option> + </param> + </section> + </xml> + <token name="@CMD_params_violin_plots@"><![CDATA[ + stripplot=$method.violin_plot.stripplot.stripplot, +#if $method.violin_plot.stripplot.stripplot == "True" + jitter=$method.violin_plot.stripplot.jitter.jitter, + #if $method.violin_plot.stripplot.jitter.jitter == "True" + size=$method.violin_plot.stripplot.jitter.size, + #end if +#end if + multi_panel=$method.violin_plot.multi_panel.multi_panel, +#if $method.multi_panel.violin_plot.multi_panel == "True" and $method.violin_plot.multi_panel.width and $method.violin_plot.multi_panel.height + figsize=($method.violin_plot.multi_panel.width, $method.violin_plot.multi_panel.height) +#end if + scale='$method.violin_plot.scale', + ]]></token> + <xml name="seaborn_violinplot"> + <section name="seaborn_violinplot" title="Parameters for seaborn.violinplot"> + <param argument="bw" type="select" label="Name of a reference rule when computing the kernel bandwidth"> + <option value="scott">scott</option> + <option value="silverman">silverman</option> + </param> + <param argument="orient" type="select" optional="true" label="Orientation of the plot"> + <option value="v">vertical</option> + <option value="h">horizontal</option> + </param> + <param argument="linewidth" type="float" value="0" label="Width of the gray lines that frame the plot elements" help=""/> + <param argument="color" type="select" label="Color for all of the elements" help=""> + <expand macro="matplotlib_color"/> + </param> + <param argument="palette" type="select" label="Colors to use for the different levels of the hue variable" help=""> + <expand macro="matplotlib_pyplot_colormap"/> + </param> + <param argument="saturation" type="float" value="0.75" min="0" max="1" label="Proportion of the original saturation to draw colors at" help=""/> + </section> + </xml> + <token name="@CMD_params_seaborn_violinplot@"><![CDATA[ + bw='$method.seaborn_violinplot.bw', +#if $method.seaborn_violinplot.orient + orient='$method.seaborn_violinplot.orient', +#end if + linewidth=$method.seaborn_violinplot.linewidth, + color='$method.seaborn_violinplot.color', + palette='$method.seaborn_violinplot.palette', + saturation=$method.seaborn_violinplot.saturation, + ]]></token> + <xml name="param_color"> + <param argument="color" type="text" value="" optional="true" label="Keys for annotations of observations/cells or variables/genes`" help="One or a list of comma-separated index or key from either `.obs` or `.var`"/> + </xml> + <token name="@CMD_param_color@"><![CDATA[ +#if str($method.color) != '' + #set $color = ([x.strip() for x in str($method.color).split(',')]) + color=$color, +#else + color=None, +#end if + ]]></token> + <xml name="pl_groups"> + <param argument="groups" type="text" value="" optional="true" label="Categorical observation annotations, comma-separated" help=""/> + </xml> + <token name="@CMD_params_pl_groups@"><![CDATA[ +#if str($method.groups) != '' + #set $groups=([x.strip() for x in str($method.groups).split(',')]) + groups=$groups, +#else + groups=None, +#end if + ]]></token> + <xml name="pl_components"> + <repeat name="components" title="Component"> + <param argument="axis1" type="text" value="1" label="Axis 1" help=""/> + <param argument="axis2" type="text" value="2" label="Axis 2" help=""/> + </repeat> + </xml> + <token name="@CMD_params_pl_components@"><![CDATA[ +#if len($method.plot.components) > 0 + #set $components=[] + #for $i, $s in enumerate($method.plot.components) + #silent $components.append(str($s.axis1) + ',' + str($s.axis2)) + #end for + components=$components, +#else + components=None, +#end if + ]]> + </token> + <xml name="param_projection"> + <param argument="projection" type="select" label="Projection of plot" help=""> + <option value="2d">2d</option> + <option value="3d">3d</option> + </param> + </xml> + <xml name="param_legend_loc"> + <param argument="legend_loc" type="select" label="Location of legend" help=""> + <option value="none">none</option> + <option value="right margin" selected="true">right margin</option> + <option value="on data">on data</option> + <option value="on data export">on data export</option> + <option value="best">best</option> + <option value="upper right">upper right</option> + <option value="upper left">upper left</option> + <option value="lower left">lower left</option> + <option value="lower right">lower right</option> + <option value="center left">center left</option> + <option value="center right">center right</option> + <option value="lower center">lower center</option> + <option value="upper center">upper center</option> + <option value="center">center</option> + </param> + </xml> + <xml name="param_legend_fontsize"> + <param argument="legend_fontsize" type="integer" min="0" value="1" label="Legend font size" help=""/> + </xml> + <xml name="param_legend_fontweight"> + <param argument="legend_fontweight" type="select" label="Legend font weight" help=""> + <option value="light">light</option> + <option value="normal" selected="true">normal</option> + <option value="medium">medium</option> + <option value="semibold">semibold</option> + <option value="bold">bold</option> + <option value="heavy">heavy</option> + <option value="black">black</option> + </param> + </xml> + <xml name="param_palette"> + <param argument="palette" type="select" label="Colors to use for plotting g categorical annotation groups" help=""> + <expand macro="matplotlib_pyplot_colormap"/> + </param> + </xml> + <xml name="param_color_map"> + <param argument="color_map" type="select" label="Colors to use for plotting categorical annotation groups" help=""> + <expand macro="matplotlib_pyplot_colormap"/> + </param> + </xml> + <xml name="param_frameon"> + <param argument="frameon" type="boolean" truevalue="True" falsevalue="False" checked="true" label="Draw a frame around the scatter plot?" help=""/> + </xml> + <xml name="param_right_margin"> + <param argument="right_margin" type="float" value="1" label="Width of the space right of each plotting panel" help=""/> + </xml> + <xml name="param_left_margin"> + <param argument="left_margin" type="float" value="1" label="Width of the space left of each plotting panel" help=""/> + </xml> + <xml name="param_size"> + <param argument="size" type="float" value="1" label="Point size" help=""/> + </xml> + <xml name="param_title"> + <param argument="title" type="text" value="" optional="true" label="Title for panels" help="Titles must be separated by a comma"/> + </xml> + <xml name="param_sort_order"> + <param argument="sort_order" type="boolean" truevalue="True" falsevalue="False" checked="true" label="Sort order?" help="For continuous annotations used as color parameter, plot data points with higher values on top of others."/> + </xml> + <xml name="param_sort_order"> + <param argument="sort_order" type="boolean" truevalue="True" falsevalue="False" checked="true" label="Sort order?" help="For continuous annotations used as color parameter, plot data points with higher values on top of others."/> + </xml> + <xml name="param_ncols"> + <param argument="ncols" type="integer" min="0" value="4" label="Number of panels per row" help=""/> + </xml> + <xml name="param_wspace"> + <param argument="wspace" type="float" min="0" value="0.1" label="Width of the space between multiple panels" help=""/> + </xml> + <xml name="param_hspace"> + <param argument="hspace" type="float" min="0" value="0.25" label="Geight of the space between multiple panels" help=""/> + </xml> + <xml name="pl_edges"> + <conditional name="edges"> + <param argument="edges" type="select" label="Show edges?"> + <option value="True">Yes</option> + <option value="False" selected="true">No</option> + </param> + <when value="True"> + <param name="edges_width" type="float" min="0" value="0.1" label="Width of edges"/> + <param name="edges_color" type="select" label="Color of edges"> + <expand macro="matplotlib_color"/> + </param> + </when> + <when value="False"/> + </conditional> + </xml> + <token name="@CMD_pl_edges@"><![CDATA[ +#if str($method.edges.edges) == 'True' + edges=True, + edges_width=$method.edges.edges_width, + edges_color='$method.edges.edges_color', +#else + edges=False, +#end if + ]]> + </token> + <xml name="param_arrows"> + <param name="arrows" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Show arrows?" help="It requires to run `tl.rna_velocity` before."/> + </xml> + <xml name="param_cmap"> + <param argument="cmap" type="select" label="Colors to use for plotting categorical annotation groups" help=""> + <expand macro="matplotlib_pyplot_colormap"/> + </param> + </xml> + <xml name="pl_attribute_section"> + <section name="plot" title="Plot attributes"> + <expand macro="pl_components"/> + <expand macro="param_projection"/> + <expand macro="param_legend_loc"/> + <expand macro="param_legend_fontsize"/> + <expand macro="param_legend_fontweight"/> + <expand macro="param_size"/> + <expand macro="param_palette"/> + <expand macro="param_frameon"/> + <expand macro="param_ncols"/> + <expand macro="param_wspace"/> + <expand macro="param_hspace"/> + <expand macro="param_title"/> + </section> + </xml> + <token name="@CMD_pl_attribute_section@"><![CDATA[ + projection='$method.plot.projection', + legend_loc='$method.plot.legend_loc', + legend_fontsize=$method.plot.legend_fontsize, + legend_fontweight='$method.plot.legend_fontweight', + size=$method.plot.size, + palette='$method.plot.palette', + frameon=$method.plot.frameon, + ncols=$method.plot.ncols, + wspace=$method.plot.wspace, + hspace=$method.plot.hspace, + #if $method.plot.title + title='$method.plot.title', + #end if + ]]> + </token> + <xml name="inputs_paga"> + <param argument="threshold" type="float" min="0" value="0.01" label="Threshold to draw edges" help="Do not draw edges for weights below this threshold. Set to 0 if you want all edges. Discarding low-connectivity edges helps in getting a much clearer picture of the graph."/> + <expand macro="pl_groups"/> + <param argument="color" type="text" value="" label="The node colors" help="Gene name or obs. annotation, and also plots the degree of the abstracted graph when passing 'degree_dashed', 'degree_solid'."/> + <param argument="pos" type="data" format="tabular,csv,tsv" optional="true" label="Two-column tabular file storing the x and y coordinates for drawing" help=""/> + <param argument="labels" type="text" value="" label="Comma-separated node labels" help="If none is provided, this defaults to the group labels stored in the categorical for which `tl.paga` has been computed."/> + <param argument="layout" type="select" value="" label="Plotting layout" help=""> + <option value="fa">fa: ForceAtlas2</option> + <option value="fr">fr: Fruchterman-Reingold</option> + <option value="fr">rt: stands for Reingold Tilford</option> + <option value="fr">eq_tree: equally spaced tree</option> + </param> + <param argument="init_pos" type="data" format="tabular,csv,tsv" optional="true" label="Two-column tabular file storing the x and y coordinates for initializing the layout" help=""/> + <param argument="random_state" type="integer" value="0" label="Random state" help="For layouts with random initialization like 'fr', change this to use different intial states for the optimization. If `None`, the initial state is not reproducible."/> + <param argument="root" type="text" value="" label="Comma-separated roots" help="If choosing a tree layout, this is the index of the root node or a list of root node indices. If this is a non-empty vector then the supplied node IDs are used as the roots of the trees (or a single tree if the graph is connected). If this is `None` or an empty list, the root vertices are automatically calculated based on topological sorting."/> + <param argument="transitions" type="text" value="" label="Key corresponding to the matrix storing the arrows" help="Key for `.uns['paga']`, e.g. 'transistions_confidence'"/> + <param argument="solid_edges" type="text" value="paga_connectivities" label="Key corresponding to the matrix storing the edges to be drawn solid black" help="Key for `.uns['paga']`"/> + <param argument="dashed_edges" type="text" value="" optional="true" label="Key corresponding to the matrix storing the edges to be drawn dashed grey" help="Key for `.uns['paga']`. If not set, no dashed edges are drawn."/> + <param argument="single_component" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Restrict to largest connected component?" help=""/> + <param argument="fontsize" type="integer" min="0" value="1" label="Font size for node labels" help=""/> + <param argument="node_size_scale" type="float" min="0" value="1.0" label="Size of the nodes" help=""/> + <param argument="node_size_power" type="float" min="0" value="0.5" label="Power with which groups sizes influence the radius of the nodes" help=""/> + <param argument="edge_width_scale" type="float" min="0" value="5" label="Scale for edge width" help=""/> + <param argument="min_edge_width" type="float" min="0" value="" optional="true" label="Min width of solid edges" help=""/> + <param argument="max_edge_width" type="float" min="0" value="" optional="true" label="Max width of solid and dashed edges" help=""/> + <param argument="arrowsize" type="integer" min="0" value="30" label="Arrow size" help="For directed graphs, choose the size of the arrow head head's length and width."/> + <param argument="normalize_to_color" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Normalize categorical plots to color or the underlying grouping?" help=""/> + <expand macro="param_cmap"/> + <expand macro="param_title"/> + <expand macro="param_frameon"/> + </xml> + <token name="@CMD_params_pl_paga@"><![CDATA[ + threshold=$method.threshold, +#if str($method.groups) != '' + #set $groups=([x.strip() for x in str($method.groups).split(',')]) + groups=$groups, +#else + groups=None, +#end if + color='$method.color', +#if $method.pos + pos=np.fromfile($method.pos, dtype=dt), +#end if +#if str($method.labels) != '' + #set $labels=([x.strip() for x in str($method.labels).split(',')]) + labels=$labels, +#end if + layout='$method.layout', +#if $method.init_pos + init_pos=np.fromfile($method.init_pos, dtype=dt), +#end if + random_state=$method.random_state, +#if str($method.root) != '' + #set $root=([int(x.strip()) for x in str($method.root).split(',')]) + root=$root, +#end if +#if $method.transitions + transitions='$method.transitions', +#end if + solid_edges='$method.solid_edges', +#if $method.dashed_edges + dashed_edges='$method.dashed_edges', +#end if + single_component=$method.single_component, + fontsize=$method.fontsize, + node_size_scale=$method.node_size_scale, + node_size_power=$method.node_size_power, + edge_width_scale=$method.edge_width_scale, +#if $method.min_edge_width + min_edge_width=$method.min_edge_width, +#end if +#if $method.max_edge_width + max_edge_width=$method.max_edge_width, +#end if + arrowsize=$method.arrowsize, + normalize_to_color=$method.normalize_to_color, + cmap='$method.cmap', +#if $method.title + title='$method.title', +#end if + frameon=$method.frameon, + ]]> + </token> + <xml name="param_swap_axes"> + <param argument="swap_axes" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Swap axes?" help="By default, the x axis contains `var_names` (e.g. genes) and the y axis the `groupby` categories (if any). By setting `swap_axes` then x are the `groupby` categories and y the `var_names`."/> + </xml> +</macros>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/plot.xml Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,1463 @@ +<tool id="scanpy_plot" name="Plot with scanpy" version="@galaxy_version@"> + <description></description> + <macros> + <import>macros.xml</import> + </macros> + <expand macro="requirements"/> + <stdio> + <regex match="... storing" source="stderr" level="warning"/> + </stdio> + <expand macro="version_command"/> + <command detect_errors="exit_code"><![CDATA[ +@CMD@ + ]]></command> + <configfiles> + <configfile name="script_file"><![CDATA[ +@CMD_imports@ +@CMD_read_inputs@ + +sc.settings.figdir = '.' + +#if $method.method == 'pl.scatter' + +sc.pl.scatter( + @CMD_param_plot_inputs@ + #if $method.type.type == 'xy' + x='$method.type.x', + y='$method.type.y', + layers=('$method.type.layer_x', '$method.type.layer_y', '$method.type.layer_color'), + #else + basis='$method.type.basis', + #if str($method.type.color) != '' + #set $color = ([x.strip() for x in str($method.type.color).split(',')]) + color=$color, + #else + color=None, + #end if + #end if + use_raw=$method.use_raw, + sort_order=$method.sort_order, + @CMD_params_pl_groups@ + @CMD_params_pl_components@ + projection='$method.plot.projection', + legend_loc='$method.plot.legend_loc', + legend_fontsize=$method.plot.legend_fontsize, + legend_fontweight='$method.plot.legend_fontweight', + color_map='$method.plot.color_map', + palette='$method.plot.palette', + frameon=$method.plot.frameon, + #if $method.plot.title + title='$method.plot.title', + #end if + size=$method.plot.size) + +#elif $method.method == 'pl.heatmap' +sc.pl.heatmap( + @CMD_param_plot_inputs@ + @CMD_params_plots@ + swap_axes=$method.swap_axes, + show_gene_labels=$method.show_gene_labels, + cmap='$method.matplotlib_pyplot_imshow.cmap', + interpolation='$method.matplotlib_pyplot_imshow.interpolation', + #if $method.matplotlib_pyplot_imshow.alpha + alpha=$method.matplotlib_pyplot_imshow.alpha, + #end if + #if $method.matplotlib_pyplot_imshow.vmin + vmin=$method.matplotlib_pyplot_imshow.vmin, + #end if + #if $method.matplotlib_pyplot_imshow.vmax + vmax=$method.matplotlib_pyplot_imshow.vmax, + #end if + origin='$method.matplotlib_pyplot_imshow.origin') + +#elif $method.method == 'pl.dotplot' +sc.pl.dotplot( + @CMD_param_plot_inputs@ + @CMD_params_plots@ + color_map='$method.color_map', + #if $method.dot_max + dot_max=$method.dot_max, + #end if + #if $method.dot_min + dot_min=$method.dot_min, + #end if + @CMD_params_matplotlib_pyplot_scatter@) + +#elif $method.method == 'pl.violin' +sc.pl.violin( + @CMD_param_plot_inputs@ + #if $method.key_variables.type == "var_names" + #set $key_list = adata.var_names + #elif $method.key_variables.type == "obs" + #set $key_list = adata.obs.select_dtypes(exclude=['category']).columns + #elif $method.key_variables.type == "custom" + #set $key_list=([x.strip() for x in str($method.key_variables.keys).split(',')]) + #end if + keys=$key_list, + #if $method.groupby + groupby='$method.groupby', + #end if + log=$method.log, + use_raw=$method.use_raw, + sstripplot=$method.violin_plot.stripplot.stripplot, + #if $method.violin_plot.stripplot.stripplot == "True" + jitter=$method.violin_plot.stripplot.jitter.jitter, + #if $method.violin_plot.stripplot.jitter.jitter == "True" + size=$method.violin_plot.stripplot.jitter.size, + #end if + #end if + multi_panel=$method.violin_plot.multi_panel.multi_panel, + scale='$method.violin_plot.scale', + #if $method.xlabel + xlabel='$method.xlabel', + #end if + #if $method.rotation + rotation=$method.rotation, + #end if + @CMD_params_seaborn_violinplot@) + +#elif $method.method == 'pl.matrixplot' +sc.pl.matrixplot( + @CMD_param_plot_inputs@ + @CMD_params_plots@ + swap_axes=$method.swap_axes, + cmap='$method.matplotlib_pyplot_pcolor.cmap', + #if $method.matplotlib_pyplot_pcolor.vmin + vmin=$method.matplotlib_pyplot_pcolor.vmin, + #end if + #if $method.matplotlib_pyplot_pcolor.vmax + vmax=$method.matplotlib_pyplot_pcolor.vmax, + #end if + edgecolors='$method.matplotlib_pyplot_pcolor.edgecolors', + #if $method.matplotlib_pyplot_pcolor.alpha + alpha=$method.matplotlib_pyplot_pcolor.alpha, + #end if + snap=$method.matplotlib_pyplot_pcolor.snap) + +#elif $method.method == 'pl.clustermap' +sc.pl.clustermap( + #if str($method.use_raw) == 'True' + adata=adata.X, + #else + adata=adata, + #end if + show=False, + obs_keys='$method.obs_keys', + use_raw=$method.use_raw, + method='$method.seaborn_clustermap.method', + metric='$method.seaborn_clustermap.metric', + #if str($method.seaborn_clustermap.z_score) == 'None' + z_score=None, + #else + z_score=$method.seaborn_clustermap.z_score, + #end if + #if str($method.seaborn_clustermap.standard_scale) == 'None' + standard_scale=None, + #else + standard_scale=$method.seaborn_clustermap.standard_scale, + #end if + col_cluster=$method.seaborn_clustermap.col_cluster, + row_cluster=$method.seaborn_clustermap.row_cluster).savefig(fname="output.$format") + +#elif $method.method == 'pl.highest_expr_genes' +sc.pl.highest_expr_genes( + @CMD_param_plot_inputs@ + n_top=$method.n_top, + #if str($method.gene_symbols) != '' + gene_symbols='$method.gene_symbols', + #end if + #if str($method.setseaborn_boxplot.color) != '' + color='$method.setseaborn_boxplot.color', + #end if + #if str($method.setseaborn_boxplot.palette) != 'None' + palette='$method.setseaborn_boxplot.palette', + #end if + saturation=$method.setseaborn_boxplot.saturation) + +#elif $method.method == 'pl.pca' +sc.pl.pca( + @CMD_param_plot_inputs@ + @CMD_param_color@ + use_raw=$method.use_raw, + sort_order=$method.sort_order, + @CMD_params_pl_groups@ + @CMD_params_pl_components@ + @CMD_pl_attribute_section@ + @CMD_params_matplotlib_pyplot_scatter@) + +#elif $method.method == 'pl.pca_loadings' +sc.pl.pca_loadings( + @CMD_param_plot_inputs@ + #set $components = ([int(x.strip()) for x in str($method.components).split(',')]) + components=$components) + +#elif $method.method == 'pl.pca_variance_ratio' +sc.pl.pca_variance_ratio( + @CMD_param_plot_inputs@ + n_pcs=$method.n_pcs, + log=$method.log) + +#elif $method.method == 'pl.pca_overview' +sc.pl.pca_overview( + @CMD_param_plot_inputs@ + @CMD_param_color@ + use_raw=$method.use_raw, + sort_order=$method.sort_order, + @CMD_params_pl_groups@ + @CMD_params_pl_components@ + @CMD_pl_attribute_section@ + @CMD_params_matplotlib_pyplot_scatter@) + +#elif $method.method == 'pl.tsne' +sc.pl.tsne( + @CMD_param_plot_inputs@ + @CMD_param_color@ + use_raw=$method.use_raw, + @CMD_pl_edges@ + arrows=$method.arrows, + sort_order=$method.sort_order, + @CMD_params_pl_groups@ + @CMD_params_pl_components@ + @CMD_pl_attribute_section@ + @CMD_params_matplotlib_pyplot_scatter@) + +#elif $method.method == 'pl.umap' +sc.pl.umap( + @CMD_param_plot_inputs@ + @CMD_param_color@ + use_raw=$method.use_raw, + @CMD_pl_edges@ + arrows=$method.arrows, + sort_order=$method.sort_order, + @CMD_params_pl_groups@ + @CMD_params_pl_components@ + @CMD_pl_attribute_section@ + @CMD_params_matplotlib_pyplot_scatter@) + +#elif $method.method == 'pl.diffmap' +sc.pl.diffmap( + @CMD_param_plot_inputs@ + @CMD_param_color@ + use_raw=$method.use_raw, + sort_order=$method.sort_order, + @CMD_params_pl_groups@ + @CMD_params_pl_components@ + @CMD_pl_attribute_section@ + @CMD_params_matplotlib_pyplot_scatter@) + +#elif $method.method == 'pl.dpt_groups_pseudotime' +sc.pl.dpt_groups_pseudotime( + @CMD_param_plot_inputs@ + color_map='$method.color_map') + +#elif $method.method == 'pl.dpt_timeseries' +sc.pl.dpt_timeseries( + @CMD_param_plot_inputs@ + #if $method.heatmap.as_heatmap == "True" + color_map='$method.heatmap.color_map', + #end if + as_heatmap=$method.heatmap.as_heatmap) + +#elif $method.method == 'pl.paga' +sc.pl.paga( + @CMD_param_plot_inputs@ + @CMD_params_pl_paga@) +#end if +]]></configfile> + </configfiles> + <inputs> + <expand macro="inputs_anndata"/> + <expand macro="param_plot_format"/> + <conditional name="method"> + <param argument="method" type="select" label="Method used for plotting"> + <option value="pl.scatter">Generic: Scatter plot along observations or variables axes, using `pl.scatter`</option> + <option value="pl.heatmap">Generic: Heatmap of the expression values of set of genes, using `pl.heatmap`</option> + <option value="pl.dotplot">Generic: Makes a dot plot of the expression values, using `pl.dotplot`</option> + <option value="pl.violin">Generic: Violin plot, using `pl.violin`</option> + <!--<option value="pl.stacked_violin">Generic: </option>!--> + <option value="pl.matrixplot">Generic: Heatmap of the mean expression values per cluster, using `pl.matrixplot`</option> + <option value="pl.clustermap">Generic: Hierarchically-clustered heatmap, using `pl.clustermap`</option> + <!--<option value="pl.ranking">Generic: </option>!--> + <option value="pl.highest_expr_genes">Preprocessing: Plot the fraction of counts assigned to each gene over all cells, using `pl.highest_expr_genes`</option> + <!--<option value="pl.filter_genes_dispersion">Preprocessing: Plot dispersions versus means for genes, using `pl.filter_genes_dispersion`</option>--> + <!--<option value="pl.highly_variable_genes">Preprocessing: </option>!--> + <!--<option value="pl.calculate_qc_metrics">Preprocessing: </option>!--> + <option value="pl.pca">PCA: Scatter plot in PCA coordinates, using `pl.pca`</option> + <option value="pl.pca_loadings">PCA: Rank genes according to contributions to PCs, using `pl.pca_loadings`</option> + <option value="pl.pca_variance_ratio">PCA: Scatter plot in PCA coordinates, using `pl.pca_variance_ratio`</option> + <option value="pl.pca_overview">PCA: Plot PCA results, using `pl.pca_overview`</option> + <option value="pl.tsne">Embeddings: Scatter plot in tSNE basis, using `pl.tsne`</option> + <option value="pl.umap">Embeddings: Scatter plot in UMAP basis, using `pl.umap`</option> + <option value="pl.diffmap">Embeddings: Scatter plot in Diffusion Map basis, using `pl.diffmap`</option> + <!--<option value="pl.draw_graph">Embeddings: </option>!--> + <option value="pl.dpt_groups_pseudotime">Branching trajectories and pseudotime, clustering: Plot groups and pseudotime, using `pl.dpt_groups_pseudotime`</option> + <option value="pl.dpt_timeseries">Branching trajectories and pseudotime, clustering: Heatmap of pseudotime series, using `pl.dpt_timeseries`</option> + <option value="pl.paga">Branching trajectories and pseudotime, clustering: Plot the abstracted graph through thresholding low-connectivity edges, using `pl.paga`</option> + <!--<option value="pl.paga_compare">Branching trajectories and pseudotime, clustering: </option>!--> + <!--<option value="pl.paga_path">Branching trajectories and pseudotime, clustering: </option>!--> + <!--<option value="pl.rank_gene_groups">Marker genes: Plot ranking of genes using dotplot plot, using `pl.rank_gene_groups`</option>!--> + <!--<option value="pl.rank_genes_groups_dotplot">Marker genes: </option>!--> + <!--<option value="pl.rank_genes_groups_heatmap">Marker genes: </option>!--> + <!--<option value="pl.rank_genes_groups_matrixplot">Marker genes: </option>!--> + <!--<option value="pl.rank_genes_groups_stacked_violin">Marker genes: </option>!--> + <!--<option value="pl.rank_genes_groups_violin">Marker genes: </option>!--> + <!--<option value="pl.phate">Misc: </option>!--> + <!--<option value="pl.matrix">Misc: </option>!--> + <!--<option value="pl.paga_adjacency">Misc: </option>!--> + <!--<option value="pl.timeseries">Misc: </option>!--> + <!--<option value="pl.timeseries_as_heatmap">Misc: </option>!--> + <!--<option value="pl.timeseries_subplot">Misc: </option>!--> + </param> + <when value="pl.scatter"> + <conditional name="type"> + <param name="type" type="select" label="Plotting tool that computed coordinates" help=""> + <option value="xy">Using coordinates</option> + <option value="basis">Using tool that computes coordinates</option> + </param> + <when value="xy"> + <param argument="x" type="text" value="" label="x coordinate" help="Index or key from either `.obs` or `.var`"/> + <param argument="y" type="text" value="" label="y coordinate" help="Index or key from either `.obs` or `.var`"/> + <param argument="layer_x" type="text" value="X" label="Layers for x coordinate" help="Use the `layers` attribute of `adata` if present"/> + <param argument="layer_y" type="text" value="X" label="Layers for y coordinate" help="Use the `layers` attribute of `adata` if present"/> + <param argument="layer_color" type="text" value="X" label="Layers for color" help="Use the `layers` attribute of `adata` if present"/> + </when> + <when value="basis"> + <param argument="basis" type="select" label="Plotting tool that computes coordinates" help=""> + <option value="pca">pca (need to run on `tl.pca` output)</option> + <option value="tsne">tsne (need to run on `tl.tsne` output)</option> + <option value="umap">umap (need to run on `tl.umap` output)</option> + <option value="diffmap">diffmap (need to run on `tl.diffmap` output)</option> + <option value="draw_graph_fr">draw_graph_fr (need to run on `tl.draw_graph` output)</option> + </param> + <expand macro="param_color"/> + </when> + </conditional> + <expand macro="param_use_raw"/> + <param argument="sort_order" type="boolean" truevalue="True" falsevalue="False" checked="true" label="Plot data points with higher values on top of others?" help="For continuous annotations used as color parameter"/> + <expand macro="pl_groups"/> + <section name="plot" title="Plot attributes"> + <expand macro="pl_components"/> + <expand macro="param_projection"/> + <expand macro="param_legend_loc"/> + <expand macro="param_legend_fontsize"/> + <expand macro="param_legend_fontweight"/> + <expand macro="param_color_map"/> + <expand macro="param_palette"/> + <expand macro="param_frameon"/> + <expand macro="param_size"/> + <expand macro="param_title"/> + </section> + </when> + <when value="pl.heatmap"> + <expand macro="params_plots"/> + <expand macro="param_swap_axes"/> + <param argument="show_gene_labels" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Show gene labels?" help="By default gene labels are shown when there are 50 or less genes. Otherwise the labels are removed."/> + <section name="matplotlib_pyplot_imshow" title="Parameters for matplotlib.pyplot.imshow"> + <expand macro="param_cmap"/> + <param name="interpolation" type="select" label="Interpolation method" help=""> + <option value="none">none</option> + <option value="nearest">nearest</option> + <option value="bilinear">bilinear</option> + <option value="bicubic">bicubic</option> + <option value="spline16">spline16</option> + <option value="spline36">spline36</option> + <option value="hanning">hanning</option> + <option value="hamming">hamming</option> + <option value="hermite">hermite</option> + <option value="kaiser">kaiser</option> + <option value="quadric">quadric</option> + <option value="catrom">catrom</option> + <option value="gaussian">gaussian</option> + <option value="bessel">bessel</option> + <option value="sinc">sinc</option> + <option value="mitchell">mitchell</option> + <option value="lanczos">lanczos</option> + </param> + <expand macro="param_alpha"/> + <expand macro="param_vmin"/> + <expand macro="param_vmax"/> + <param name="origin" type="select" label="Place the [0,0] index of the array in the upper left or lower left corner of the axes" help=" The convention 'upper' is typically used for matrices and images."> + <option value="upper">Upper</option> + <option value="lower">Lower</option> + </param> + </section> + </when> + <when value="pl.dotplot"> + <expand macro="params_plots"/> + <param argument="color_map" type="select" label="Color palette"> + <expand macro="matplotlib_pyplot_colormap"/> + </param> + <param argument="dot_max" type="float" value="" min="0" max="1" optional="true" label="Maximum dot size" help="If none, the maximum dot size is set to the maximum fraction value found (e.g. 0.6). If given, the value should be a number between 0 and 1. All fractions larger than dot_max are clipped to this value."/> + <param argument="dot_min" type="float" value="" min="0" max="1" optional="true" label="Minimum dot size" help="If none, the minimum dot size is set to 0. If given, the value should be a number between 0 and 1. All fractions smaller than dot_min are clipped to this value."/> + <expand macro="section_matplotlib_pyplot_scatter"/> + </when> + <when value="pl.violin"> + <conditional name="key_variables"> + <param name="type" type="select" label="Keys for accessing variables"> + <option value="var_names">All variables in `.var_names`</option> + <option value="obs">All fields in `.obs`</option> + <option value="custom">Subset of variables in `adata.var_names` or fields of `.obs`"</option> + </param> + <when value="var_names"/> + <when value="obs"/> + <when value="custom"> + <param argument="keys" type="text" value="" label="Keys for accessing variables" help="One or a list of comma-separated index or key from `.var_names` or fields of `.obs`"/> + </when> + </conditional> + <expand macro="param_groupby"/> + <expand macro="param_log"/> + <expand macro="param_use_raw"/> + <expand macro="section_violin_plots"/> + <param argument="xlabel" type="text" value="" optional="true" label="Label of the x axis" help="Defaults to `groupby` if `rotation` is `None`, otherwise, no label is shown."/> + <param argument="rotation" type="float" value="" optional="true" label="Rotation of xtick labels" help=""/> + <expand macro="seaborn_violinplot"/> + </when> + <when value="pl.matrixplot"> + <expand macro="params_plots"/> + <expand macro="param_swap_axes"/> + <section name="matplotlib_pyplot_pcolor" title="Parameters for matplotlib.pyplot.pcolor"> + <param argument="cmap" type="select" label="Color palette"> + <expand macro="seaborn_color_palette_options"/> + </param> + <param argument="vmin" type="float" value="" optional="true" label="Minimum value to anchor the colormap" help=""/> + <param argument="vmax" type="float" value="" optional="true" label="Maximum value to anchor the colormap" help=""/> + <expand macro="param_matplotlib_pyplot_edgecolors"/> + <expand macro="param_alpha"/> + <param argument="snap" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Snap the mesh to pixel boundaries?" help=""/> + </section> + </when> + <when value="pl.clustermap"> + <param argument="obs_keys" type="text" value="" label="Categorical annotation to plot with a different color map" help="Currently, only a single key is supported."/> + <expand macro="param_use_raw"/> + <section name="seaborn_clustermap" title="Parameters for seaborn.clustermap"> + <param name="method" type="select" label="Linkage method to use for calculating clusters" help="More details in https://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.linkage.html"> + <option value="single">single: Nearest Point Algorithm</option> + <option value="complete">complete: Farthest Point Algorithm or Voor Hees Algorithm</option> + <option value="average">average: UPGMA algorithm</option> + <option value="weighted">weighted: WPGMA algorithm</option> + <option value="centroid">centroid: UPGMC algorithm</option> + <option value="median">median: WPGMC algorithm</option> + <option value="ward">ward: incremental algorithm</option> + </param> + <param name="metric" type="select" label="Distance metric to use for the data" help="See scipy.spatial.distance.pdist documentation for more options https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.pdist.html"> + <expand macro="distance_metric_options"/> + </param> + <param name="z_score" type="select" label="Calculate z-scores for the rows or the columns?" help="Z scores are: z = (x - mean)/std, so values in each row (column) will get the mean of the row (column) subtracted, then divided by the standard deviation of the row (column). This ensures that each row (column) has mean of 0 and variance of 1."> + <option value="None">No Z-score</option> + <option value="0">Rows</option> + <option value="1">Columns</option> + </param> + <param name="standard_scale" type="select" label="Standardize a dimension?" help="It means for each row or column, subtract the minimum and divide each by its maximum."> + <option value="None">No standardization</option> + <option value="0">Rows</option> + <option value="1">Columns</option> + </param> + <param name="col_cluster" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Cluster the columns?" help=""/> + <param name="row_cluster" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Cluster the rows?" help=""/> + </section> + </when> + <when value="pl.highest_expr_genes"> + <param argument="n_top" type="integer" min="0" value="30" label="Number of top genes" help=""/> + <param argument="gene_symbols" type="text" optional="true" label="Key for field in `.var` that stores gene symbols" help="Fill it if you do not want to use `.var_names`."/> + <section name="setseaborn_boxplot" title="Plot settings" expanded="false"> + <param argument="color" type="text" value="" optional="true" label="Color for all of the elements, or seed for a gradient palette" help=""/> + <param argument="palette" type="select" optional="true" label="Colors to use for the different levels of the hue variable" help="See https://seaborn.pydata.org/tutorial/color_palettes.html for more details."> + <expand macro="seaborn_color_palette_options"/> + </param> + <param argument="saturation" type="float" value="1" label="Proportion of the original saturation to draw colors at" help="Large patches often look better with slightly desaturated colors, but set this to 1 if you want the plot colors to perfectly match the input color spec."/> + </section> + </when> + <when value="pl.pca"> + <expand macro="param_color"/> + <expand macro="param_use_raw"/> + <expand macro="param_sort_order"/> + <expand macro="pl_groups"/> + <expand macro="pl_attribute_section"/> + <expand macro="section_matplotlib_pyplot_scatter"/> + </when> + <when value="pl.pca_loadings"> + <param argument="components" type="text" value="1,2,3" label="Lsit of comma-separated components" help="1, 2, 3 means first, second and third principal components"/> + </when> + <when value="pl.pca_variance_ratio"> + <param argument="n_pcs" type="integer" min="0" value="30" label="Number of PCs to show" help=""/> + <expand macro="param_log"/> + </when> + <when value="pl.pca_overview"> + <expand macro="param_color"/> + <expand macro="param_use_raw"/> + <expand macro="param_sort_order"/> + <expand macro="pl_groups"/> + <expand macro="pl_attribute_section"/> + <expand macro="section_matplotlib_pyplot_scatter"/> + </when> + <when value="pl.tsne"> + <expand macro="param_color"/> + <expand macro="param_use_raw"/> + <expand macro="pl_edges"/> + <expand macro="param_arrows"/> + <expand macro="param_sort_order"/> + <expand macro="pl_groups"/> + <expand macro="pl_attribute_section"/> + <expand macro="section_matplotlib_pyplot_scatter"/> + </when> + <when value="pl.umap"> + <expand macro="param_color"/> + <expand macro="param_use_raw"/> + <expand macro="pl_edges"/> + <expand macro="param_arrows"/> + <expand macro="param_sort_order"/> + <expand macro="pl_groups"/> + <expand macro="pl_attribute_section"/> + <expand macro="section_matplotlib_pyplot_scatter"/> + </when> + <when value="pl.diffmap"> + <expand macro="param_color"/> + <expand macro="param_use_raw"/> + <expand macro="param_sort_order"/> + <expand macro="pl_groups"/> + <expand macro="pl_attribute_section"/> + <expand macro="section_matplotlib_pyplot_scatter"/> + </when> + <when value="pl.dpt_groups_pseudotime"> + <expand macro="param_color_map"/> + </when> + <when value="pl.dpt_timeseries"> + <conditional name="heatmap"> + <param argument="as_heatmap" type="select" label="Plot the timeseries as heatmap?" help=""> + <option value="True">Yes</option> + <option value="False">No</option> + </param> + <when value="True"> + <expand macro="param_color_map"/> + </when> + <when value="False" /> + </conditional> + </when> + <when value="pl.paga"> + <expand macro="inputs_paga"/> + </when> + </conditional> + </inputs> + <outputs> + <data name="out_png" format="png" from_work_dir="*.png" label="${tool.name} on ${on_string}"> + <filter>format == 'png'</filter> + </data> + <data name="out_pdf" format="pdf" from_work_dir="*.pdf" label="${tool.name} on ${on_string}"> + <filter>format == 'pdf'</filter> + </data> + <data name="out_svg" format="svg" from_work_dir="*.svg" label="${tool.name} on ${on_string}"> + <filter>format == 'svg'</filter> + </data> + </outputs> + <tests> + <test> + <!-- Test pl.scatter !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="pp.pca.krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.scatter"/> + <conditional name="type"> + <param name="type" value="basis"/> + <param name="basis" value="pca"/> + <param name="color" value="EgrNab, Gata2"/> + </conditional> + <param name="use_raw" value="False"/> + <param name="sort_order" value="True"/> + <section name="plot"> + <param name="projection" value="2d"/> + <param name="legend_loc" value="right margin"/> + <param name="legend_fontsize" value="1"/> + <param name="legend_fontweight" value="normal"/> + <param name="color_map" value="inferno"/> + <param name="palette" value="inferno"/> + <param name="frameon" value="True"/> + <param name="size" value="1"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.scatter"/> + <has_text_matching expression="basis='pca'" /> + <has_text_matching expression="color=\['EgrNab', 'Gata2'\]"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="sort_order=True"/> + <has_text_matching expression="groups=None"/> + <has_text_matching expression="components=None"/> + <has_text_matching expression="projection='2d'"/> + <has_text_matching expression="legend_loc='right margin'"/> + <has_text_matching expression="legend_fontsize=1"/> + <has_text_matching expression="legend_fontweight='normal'"/> + <has_text_matching expression="color_map='inferno'"/> + <has_text_matching expression="palette='inferno'"/> + <has_text_matching expression="frameon=True"/> + <has_text_matching expression="size=1.0"/> + </assert_stdout> + <output name="out_png" file="pl.scatter.pca.krumsiek11.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- Test pl.scatter !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.scatter"/> + <conditional name="type"> + <param name="type" value="xy"/> + <param name="x" value="EKLF"/> + <param name="y" value="Cebpa"/> + <param name="layer_x" value="X"/> + <param name="layer_y" value="X"/> + <param name="layer_color" value="X"/> + </conditional> + <param name="use_raw" value="False"/> + <param name="sort_order" value="True"/> + <section name="plot"> + <param name="projection" value="2d"/> + <param name="legend_loc" value="right margin"/> + <param name="legend_fontsize" value="1"/> + <param name="legend_fontweight" value="normal"/> + <param name="palette" value="bwr"/> + <param name="frameon" value="False"/> + <param name="size" value="1"/> + <param name="title" value="A title"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.scatter"/> + <has_text_matching expression="x='EKLF'" /> + <has_text_matching expression="y='Cebpa'"/> + <has_text_matching expression="layers=\('X', 'X', 'X'\)"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="sort_order=True"/> + <has_text_matching expression="groups=None,"/> + <has_text_matching expression="components=None,"/> + <has_text_matching expression="projection='2d'"/> + <has_text_matching expression="legend_loc='right margin'"/> + <has_text_matching expression="legend_fontsize=1"/> + <has_text_matching expression="legend_fontweight='normal'"/> + <has_text_matching expression="color_map='viridis'"/> + <has_text_matching expression="palette='bwr'"/> + <has_text_matching expression="frameon=False"/> + <has_text_matching expression="size=1.0"/> + <has_text_matching expression="title='A title'"/> + </assert_stdout> + <output name="out_png" file="pl.scatter.krumsiek11.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.heatmap !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.heatmap"/> + <conditional name="var_names"> + <param name="type" value="all"/> + </conditional> + <param name="groupby" value="cell_type"/> + <param name="log" value="False"/> + <param name="use_raw" value="False"/> + <param name="num_categories" value="7"/> + <conditional name="figsize"> + <param name="test" value="yes"/> + <param name="width" value="10" /> + <param name="height" value="3"/> + </conditional> + <param name="dendrogram" value="True"/> + <param name="swap_axes" value="True"/> + <param name="show_gene_labels" value="False"/> + <section name="matplotlib_pyplot_imshow"> + <param name="cmap" value="YlGnBu"/> + <param name="interpolation" value="none"/> + <param name="origin" value="upper"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.heatmap"/> + <has_text_matching expression="var_names=adata.var_names" /> + <has_text_matching expression="groupby='cell_type'"/> + <has_text_matching expression="log=False"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="num_categories=7"/> + <has_text_matching expression="dendrogram=True"/> + <has_text_matching expression="var_group_positions=None"/> + <has_text_matching expression="var_group_labels=None"/> + <has_text_matching expression="figsize=\(10, 3\)"/> + <has_text_matching expression="swap_axes=True"/> + <has_text_matching expression="show_gene_labels=False"/> + <has_text_matching expression="interpolation='none'"/> + <has_text_matching expression="cmap='YlGnBu'"/> + <has_text_matching expression="origin='upper'"/> + </assert_stdout> + <output name="out_png" file="pl.heatmap.krumsiek11.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.dotplot !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="pbmc68k_reduced.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.dotplot"/> + <conditional name="var_names"> + <param name="type" value="custom"/> + <param name="var_names" value="CD79A, MS4A1, CD8A, CD8B, LYZ, GNLY, NKG7, RP3-467N11.1, FCGR3A, FCER1A, CST3, POU2AF1, LINC00402"/> + </conditional> + <param name="groupby" value="louvain"/> + <param name="log" value="False"/> + <param name="use_raw" value="False"/> + <param name="num_categories" value="7"/> + <param name="dendrogram" value="True"/> + <conditional name="figsize"> + <param name="test" value="no"/> + </conditional> + <param name="dendrogram" value="False"/> + <repeat name="var_group_positions"> + <param name="start" value="0"/> + <param name="end" value="1"/> + <param name="label" value="B cells"/> + </repeat> + <repeat name="var_group_positions"> + <param name="start" value="11"/> + <param name="end" value="12"/> + <param name="label" value="dendritic"/> + </repeat> + <param name="color_map" value="hot"/> + <param name="dot_max" value="0.7"/> + <param name="dot_min" value="0.1"/> + <section name="matplotlib_pyplot_scatter"> + <param name="linewidths" value="0" /> + <param name="edgecolors" value="face"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.dotplot"/> + <has_text_matching expression="var_names=\['CD79A', 'MS4A1', 'CD8A', 'CD8B', 'LYZ', 'GNLY', 'NKG7', 'RP3-467N11.1', 'FCGR3A', 'FCER1A', 'CST3', 'POU2AF1', 'LINC00402'\]" /> + <has_text_matching expression="groupby='louvain'"/> + <has_text_matching expression="log=False"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="num_categories=7"/> + <has_text_matching expression="dendrogram=False"/> + <has_text_matching expression="var_group_positions=\[\(0, 1\), \(11, 12\)\]"/> + <has_text_matching expression="var_group_labels=\['B cells', 'dendritic'\]"/> + <has_text_matching expression="color_map='hot'"/> + <has_text_matching expression="dot_max=0.7"/> + <has_text_matching expression="dot_min=0.1"/> + <has_text_matching expression="linewidths=0.0"/> + <has_text_matching expression="edgecolors='face'"/> + </assert_stdout> + <output name="out_png" file="pl.dotplot.krumsiek11.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.violin !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="pbmc68k_reduced.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.violin"/> + <conditional name="key_variables"> + <param name="type" value="custom"/> + <param name="keys" value="n_genes, percent_mito, n_counts" /> + </conditional> + <param name="log" value="False"/> + <param name="use_raw" value="False"/> + <section name="violin_plot"> + <conditional name="stripplot"> + <param name="stripplot" value="True"/> + <param name="jitter" value="True"/> + <param name="size" value="1"/> + </conditional> + <conditional name="multi_panel"> + <param name="multi_panel" value="True"/> + <param name="width" value="20"/> + <param name="height" value="20"/> + </conditional> + <param name="scale" value="width"/> + </section> + <section name="seaborn_violinplot"> + <param name="bw" value="scott"/> + <param name="linewidth" value="0"/> + <param name="color" value="AliceBlue"/> + <param name="palette" value="viridis"/> + <param name="saturation" value="0.75"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.violin"/> + <has_text_matching expression="keys=\['n_genes', 'percent_mito', 'n_counts'\]" /> + <has_text_matching expression="log=False"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="sstripplot=True"/> + <has_text_matching expression="jitter=True"/> + <has_text_matching expression="size=1"/> + <has_text_matching expression="multi_panel=True"/> + <has_text_matching expression="scale='width'"/> + <has_text_matching expression="bw='scott'"/> + <has_text_matching expression="scale='width'"/> + <has_text_matching expression="linewidth=0.0"/> + <has_text_matching expression="color='AliceBlue'"/> + <has_text_matching expression="palette='viridis'"/> + <has_text_matching expression="saturation=0.75"/> + </assert_stdout> + <output name="out_png" file="pl.violin.pbmc68k_reduced_custom.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.matrixplot !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.matrixplot"/> + <conditional name="var_names"> + <param name="type" value="all"/> + </conditional> + <param name="groupby" value="cell_type"/> + <param name="log" value="False"/> + <param name="use_raw" value="False"/> + <param name="num_categories" value="7"/> + <param name="dendrogram" value="True"/> + <conditional name="figsize"> + <param name="test" value="no"/> + </conditional> + <param name="swap_axes" value="True"/> + <section name="matplotlib_pyplot_pcolor"> + <param name="cmap" value="viridis"/> + <param name="edgecolors" value="face"/> + <param name="snap" value="False"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.matrixplot"/> + <has_text_matching expression="var_names=adata.var_names" /> + <has_text_matching expression="groupby='cell_type'"/> + <has_text_matching expression="log=False"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="num_categories=7"/> + <has_text_matching expression="dendrogram=True"/> + <has_text_matching expression="var_group_positions=None"/> + <has_text_matching expression="var_group_labels=None"/> + <has_text_matching expression="swap_axes=True"/> + <has_text_matching expression="cmap='viridis'"/> + <has_text_matching expression="edgecolors='face'"/> + <has_text_matching expression="snap=False"/> + </assert_stdout> + <output name="out_png" file="pl.matrixplot.krumsiek11.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.clustermap !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.clustermap"/> + <param name="obs_keys" value="cell_type"/> + <param name="use_raw" value="False"/> + <section name="seaborn_clustermap"> + <param name="method" value="single"/> + <param name="metric" value="braycurtis"/> + <param name="z_score" value="None"/> + <param name="standard_scale" value="None"/> + <param name="col_cluster" value="False"/> + <param name="row_cluster" value="False"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.clustermap"/> + <has_text_matching expression="adata=adata" /> + <has_text_matching expression="obs_keys='cell_type'" /> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="method='single'"/> + <has_text_matching expression="metric='braycurtis'"/> + <has_text_matching expression="z_score=None"/> + <has_text_matching expression="standard_scale=None"/> + <has_text_matching expression="col_cluster=False"/> + <has_text_matching expression="row_cluster=False"/> + </assert_stdout> + <output name="out_png" file="pl.clustermap.krumsiek11.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.highest_expr_genes !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="pp.filter_genes_dispersion.krumsiek11-seurat.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.highest_expr_genes"/> + <param name="n_top" value="30"/> + <param name="gene_symbols" value="means"/> + <section name="setseaborn_boxplot"> + <param name="color" value="blue"/> + <param name="saturation" value="0.5"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.highest_expr_genes"/> + <has_text_matching expression="n_top=30" /> + <has_text_matching expression="gene_symbols='means'" /> + <has_text_matching expression="color='blue'"/> + <has_text_matching expression="saturation=0.5"/> + </assert_stdout> + <output name="out_png" file="pl.highest_expr_genes.filter_genes_dispersion.krumsiek11-seurat.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.pca !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="pbmc68k_reduced.h5ad" /> + </conditional> + <param name="format" value="pdf"/> + <conditional name="method"> + <param name="method" value="pl.pca"/> + <param name="color" value="CD3D,CD79A"/> + <param name="use_raw" value="False"/> + <param name="sort_order" value="True"/> + <section name="plot"> + <repeat name="components"> + <param name="axis1" value="1"/> + <param name="axis2" value="2"/> + </repeat> + <repeat name="components"> + <param name="axis1" value="1"/> + <param name="axis2" value="3"/> + </repeat> + <param name="projection" value="2d"/> + <param name="legend_loc" value="right margin"/> + <param name="legend_fontsize" value="1"/> + <param name="legend_fontweight" value="normal"/> + <param name="size" value="1"/> + <param name="palette" value="viridis"/> + <param name="frameon" value="True"/> + <param name="ncols" value="2"/> + <param name="wspace" value="0.1"/> + <param name="hspace" value="0.25"/> + </section> + <section name="matplotlib_pyplot_scatter"> + <param name="linewidths" value="0"/> + <param name="edgecolors" value="face"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.pca"/> + <has_text_matching expression="save='.pdf'" /> + <has_text_matching expression="color=\['CD3D', 'CD79A'\]" /> + <has_text_matching expression="use_raw=False" /> + <has_text_matching expression="sort_order=True" /> + <has_text_matching expression="groups=None" /> + <has_text_matching expression="components=\['1,2', '1,3'\]" /> + <has_text_matching expression="projection='2d'" /> + <has_text_matching expression="legend_loc='right margin'" /> + <has_text_matching expression="legend_fontsize=1" /> + <has_text_matching expression="legend_fontweight='normal'" /> + <has_text_matching expression="size=1.0" /> + <has_text_matching expression="palette='viridis'" /> + <has_text_matching expression="frameon=True" /> + <has_text_matching expression="ncols=2" /> + <has_text_matching expression="wspace=0.1" /> + <has_text_matching expression="hspace=0.25" /> + <has_text_matching expression="linewidths=0.0" /> + <has_text_matching expression="edgecolors='face" /> + </assert_stdout> + <output name="out_pdf" file="pl.pca.pbmc68k_reduced.CD3D_CD79A_components_2d.pdf" ftype="pdf" compare="sim_size"/> + </test> + <test> + <!-- test pl.pca_loadings !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="pp.pca.krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.pca_loadings"/> + <param name="components" value="1,2,3"/> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.pca_loadings"/> + <has_text_matching expression="components=\[1, 2, 3\]" /> + </assert_stdout> + <output name="out_png" file="pl.pca_loadings.pp.pca.krumsiek11.png"/> + </test> + <test> + <!-- test pl.pca_variance_ratio !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="pp.pca.krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.pca_variance_ratio"/> + <param name="n_pcs" value="5"/> + <param name="log" value="False"/> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.pca_variance_ratio"/> + <has_text_matching expression="n_pcs=5" /> + <has_text_matching expression="log=False" /> + </assert_stdout> + <output name="out_png" file="pl.pca_variance_ratio.pp.pca.krumsiek11.png"/> + </test> + <test> + <!-- test pl.pca_overview !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="pp.pca.krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.pca_overview"/> + <param name="color" value="cell_type"/> + <param name="use_raw" value="False"/> + <param name="sort_order" value="True"/> + <section name="plot"> + <param name="projection" value="3d"/> + <param name="legend_loc" value="right margin"/> + <param name="legend_fontsize" value="1"/> + <param name="legend_fontweight" value="normal"/> + <param name="size" value="1"/> + <param name="palette" value="viridis"/> + <param name="frameon" value="True"/> + <param name="ncols" value="4"/> + <param name="wspace" value="0.1"/> + <param name="hspace" value="0.25"/> + </section> + <section name="matplotlib_pyplot_scatter"> + <param name="linewidths" value="0"/> + <param name="edgecolors" value="face"/> + <param name="vmin" value="-5"/> + <param name="vmax" value="5"/> + <param name="edgecolors" value="face"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.pca_overview"/> + <has_text_matching expression="color=\['cell_type'\]"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="sort_order=True"/> + <has_text_matching expression="groups=None"/> + <has_text_matching expression="components=None"/> + <has_text_matching expression="projection='3d'"/> + <has_text_matching expression="legend_loc='right margin'"/> + <has_text_matching expression="legend_fontsize=1"/> + <has_text_matching expression="legend_fontweight='normal'"/> + <has_text_matching expression="size=1.0"/> + <has_text_matching expression="palette='viridis'"/> + <has_text_matching expression="frameon=True"/> + <has_text_matching expression="ncols=4"/> + <has_text_matching expression="wspace=0.1"/> + <has_text_matching expression="hspace=0.25"/> + <has_text_matching expression="vmin=-5.0"/> + <has_text_matching expression="vmax=5.0"/> + <has_text_matching expression="linewidths=0.0"/> + <has_text_matching expression="edgecolors='face'"/> + </assert_stdout> + <output name="out_png" file="pl.pca_overview.pp.pca.krumsiek11.png" compare="sim_size"/> + </test> + <test> + <!-- test pl.tsne !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="tl.tsne.krumsiek11.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.tsne"/> + <param name="use_raw" value="False"/> + <conditional name="edges"> + <param name="edges" value="False" /> + </conditional> + <param name="arrows" value="False" /> + <param name="sort_order" value="True"/> + <section name="plot"> + <param name="projection" value="2d"/> + <param name="legend_loc" value="right margin"/> + <param name="legend_fontsize" value="1"/> + <param name="legend_fontweight" value="normal"/> + <param name="palette" value="viridis"/> + <param name="frameon" value="True"/> + <param name="size" value="1"/> + <param name="ncols" value="4"/> + <param name="wspace" value="0.1"/> + <param name="hspace" value="0.25"/> + </section> + <section name="matplotlib_pyplot_scatter"> + <param name="linewidths" value="0"/> + <param name="edgecolors" value="face"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.tsne"/> + <has_text_matching expression="color=None"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="edges=False"/> + <has_text_matching expression="arrows=False"/> + <has_text_matching expression="sort_order=True"/> + <has_text_matching expression="groups=None"/> + <has_text_matching expression="components=None"/> + <has_text_matching expression="projection='2d'"/> + <has_text_matching expression="legend_loc='right margin'"/> + <has_text_matching expression="legend_fontsize=1"/> + <has_text_matching expression="legend_fontweight='normal'"/> + <has_text_matching expression="size=1.0"/> + <has_text_matching expression="palette='viridis'"/> + <has_text_matching expression="frameon=True"/> + <has_text_matching expression="ncols=4"/> + <has_text_matching expression="wspace=0.1"/> + <has_text_matching expression="hspace=0.25"/> + <has_text_matching expression="linewidths=0.0"/> + <has_text_matching expression="edgecolors='face'"/> + </assert_stdout> + <output name="out_png" file="pl.tsne.krumsiek11.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.umap !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="tl.umap.neighbors_umap_euclidean.recipe_weinreb17.paul15_subsample.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.umap"/> + <param name="color" value="paul15_clusters"/> + <param name="use_raw" value="False"/> + <conditional name="edges"> + <param name="edges" value="True" /> + <param name="edges_width" value="0.1" /> + <param name="edges_color" value="AliceBlue"/> + </conditional> + <param name="arrows" value="False" /> + <section name="plot"> + <param name="projection" value="2d"/> + <param name="legend_loc" value="right margin"/> + <param name="legend_fontsize" value="1"/> + <param name="legend_fontweight" value="normal"/> + <param name="size" value="1"/> + <param name="palette" value="viridis"/> + <param name="frameon" value="True"/> + <param name="ncols" value="4"/> + <param name="wspace" value="0.1"/> + <param name="hspace" value="0.25"/> + </section> + <section name="matplotlib_pyplot_scatter"> + <param name="linewidths" value="0"/> + <param name="edgecolors" value="face"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.umap"/> + <has_text_matching expression="color=\['paul15_clusters'\]"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="edges=True"/> + <has_text_matching expression="edges_width=0.1"/> + <has_text_matching expression="edges_color='AliceBlue'"/> + <has_text_matching expression="arrows=False"/> + <has_text_matching expression="sort_order=True"/> + <has_text_matching expression="groups=None"/> + <has_text_matching expression="components=None"/> + <has_text_matching expression="projection='2d'"/> + <has_text_matching expression="legend_loc='right margin'"/> + <has_text_matching expression="legend_fontsize=1"/> + <has_text_matching expression="legend_fontweight='normal'"/> + <has_text_matching expression="size=1.0"/> + <has_text_matching expression="palette='viridis'"/> + <has_text_matching expression="frameon=True"/> + <has_text_matching expression="ncols=4"/> + <has_text_matching expression="wspace=0.1"/> + <has_text_matching expression="hspace=0.25"/> + <has_text_matching expression="linewidths=0.0"/> + <has_text_matching expression="edgecolors='face'"/> + </assert_stdout> + <output name="out_png" file="pl.umap.neighbors_umap_euclidean.recipe_weinreb17.paul15_subsample.png" ftype="png" compare="sim_size"/> + </test> + <test> + <!-- test pl.diffmap !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="tl.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.diffmap"/> + <param name="color" value="paul15_clusters"/> + <param name="use_raw" value="False"/> + <param name="sort_order" value="True"/> + <section name="plot"> + <param name="projection" value="2d"/> + <param name="legend_loc" value="right margin"/> + <param name="legend_fontsize" value="1"/> + <param name="legend_fontweight" value="normal"/> + <param name="size" value="1"/> + <param name="palette" value="viridis"/> + <param name="frameon" value="True"/> + <param name="ncols" value="4"/> + <param name="wspace" value="0.1"/> + <param name="hspace" value="0.25"/> + </section> + <section name="matplotlib_pyplot_scatter"> + <param name="linewidths" value="0"/> + <param name="edgecolors" value="face"/> + </section> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.diffmap"/> + <has_text_matching expression="color=\['paul15_clusters'\]"/> + <has_text_matching expression="use_raw=False"/> + <has_text_matching expression="sort_order=True"/> + <has_text_matching expression="groups=None"/> + <has_text_matching expression="components=None"/> + <has_text_matching expression="projection='2d'"/> + <has_text_matching expression="legend_loc='right margin'"/> + <has_text_matching expression="legend_fontsize=1"/> + <has_text_matching expression="legend_fontweight='normal'"/> + <has_text_matching expression="size=1.0"/> + <has_text_matching expression="palette='viridis'"/> + <has_text_matching expression="frameon=True"/> + <has_text_matching expression="ncols=4"/> + <has_text_matching expression="wspace=0.1"/> + <has_text_matching expression="hspace=0.25"/> + <has_text_matching expression="linewidths=0.0"/> + <has_text_matching expression="edgecolors='face'"/> + </assert_stdout> + <output name="out_png" file="pl.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.png" ftype="png" compare="sim_size"/> + </test> + <!--<test> + < test pl.dpt_groups_pseudotime > + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="tl.dpt.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.dpt_groups_pseudotime"/> + <param name="color_map" value="viridis"/> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.dpt_groups_pseudotime"/> + <has_text_matching expression="color_map='viridis'"/> + </assert_stdout> + <output name="out_png" file="pl.dpt_groups_pseudotime.dpt.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.png" ftype="png" compare="sim_size"/> + </test>!--> + <test> + <!-- test pl.dpt_timeseries !--> + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="tl.dpt.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.dpt_timeseries"/> + <conditional name="heatmap"> + <param name="as_heatmap" value="True"/> + <param name="color_map" value="viridis"/> + </conditional> + </conditional> + <assert_stdout> + <has_text_matching expression="sc.pl.dpt_timeseries"/> + <has_text_matching expression="color_map='viridis'"/> + <has_text_matching expression="as_heatmap=True"/> + </assert_stdout> + <output name="out_png" file="pl.dpt_timeseries.dpt.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.png" ftype="png" compare="sim_size"/> + </test> + <!--<test> + test pl.paga + <conditional name="input"> + <param name="format" value="h5ad" /> + <param name="adata" value="tl.paga.neighbors.paul15_gauss_braycurtis.h5ad" /> + </conditional> + <param name="format" value="png"/> + <conditional name="method"> + <param name="method" value="pl.paga"/> + <param name="threshold" value="0.01"/> + <param name="color" value="paul15_clusters"/> + <param name="labels" value="label" /> + <param name="layout" value="fr"/> + <param name="random_state" value="0"/> + <param name="solid_edges" value="connectivities"/> + <param name="single_component" value="False"/> + <param name="fontsize" value="1"/> + <param name="node_size_scale" value="1.0"/> + <param name="node_size_power" value="0.5"/> + <param name="edge_width_scale" value="5"/> + <param name="arrowsize" value="30"/> + <param name="normalize_to_color" value="False"/> + <param name="cmap" value="viridis"/> + <param name="frameon" value="True"/> + </conditional> + <output name="out_png" file="pl.paga.paul15_gauss_braycurtis.png" ftype="png" compare="sim_size"/> + </test>!--> + </tests> + <help><![CDATA[ +Generic: Scatter plot along observations or variables axes (`pl.scatter`) +========================================================================= + +Color the plot using annotations of observations (`.obs`), variables +(`.var`) or expression of genes (`.var_names`). + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.scatter.html>`__ + +Generic: Heatmap of the expression values of set of genes (`pl.heatmap`) +======================================================================== + +If `groupby` is given, the heatmap is ordered by the respective group. For +example, a list of marker genes can be plotted, ordered by clustering. If +the `groupby` observation annotation is not categorical the observation +annotation is turned into a categorical by binning the data into the number +specified in `num_categories`. + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.heatmap.html>`__ + +Generic: Makes a dot plot of the expression values (`pl.dotplot`) +================================================================= + +For each var_name and each `groupby` category a dot is plotted. Each dot +represents two values: mean expression within each category (visualized by +color) and fraction of cells expressing the var_name in the +category. (visualized by the size of the dot). If groupby is not given, the +dotplot assumes that all data belongs to a single category. A gene is not +considered expressed if the expression value in the adata (or adata.raw) is +equal to zero. + +For instance, for each marker gene, the mean value and the percentage of cells +expressing the gene can be visualized for each cluster. + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.dotplot.html>`__ + +Generic: Violin plot (`pl.violin`) +================================== + +Wraps `seaborn.violinplot` for `anndata.AnnData`. + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.stacked_violin.html>`__ + +Generic: Heatmap of the mean expression values per cluster (`pl.matrixplot`) +============================================================================ + +Creates a heatmap of the mean expression values per cluster of each var_names + +If groupby is not given, the matrixplot assumes that all data belongs to a single +category. + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.matrixplot.html>`__ + +Generic: Hierarchically-clustered heatmap (`pl.clustermap`) +=========================================================== + +Wraps `seaborn.clustermap +<https://seaborn.pydata.org/generated/seaborn.clustermap.html>`__ for +`anndata.AnnData`. + +The returned object has a savefig() method that should be used if you want +to save the figure object without clipping the dendrograms. + +To access the reordered row indices, use: +clustergrid.dendrogram_row.reordered_ind + +Column indices, use: clustergrid.dendrogram_col.reordered_ind + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.clustermap.html>`__ + +Preprocessing: Plot the fraction of counts assigned to each gene over all cells (`pl.highest_expr_genes`) +========================================================================================================= + +Computes, for each gene, the fraction of counts assigned to that gene within +a cell. The `n_top` genes with the highest mean fraction over all cells are +plotted as boxplots. + +This plot is similar to the `scater` package function `plotHighestExprs(type= "highest-expression")`, see `here +<https://bioconductor.org/packages/devel/bioc/vignettes/scater/inst/doc/vignette-qc.html>`__. +-- Davis McCarthy and Aaron Lun + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.highest_expr_genes.html>`__ + +PCA: Scatter plot in PCA coordinates (`pl.pca`) +=============================================== + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.pca.html>`__ + +PCA: Rank genes according to contributions to PCs (`pl.pca_loadings`) +===================================================================== + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.pca_loadings.html>`__ + +PCA: Plot the variance ratio (`pl.pca_variance_ratio`) +====================================================== + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.pca_variance_ratio.html>`__ + +PCA: Plot PCA results (`pl.pca_overview`) +========================================= + +The parameters are the ones of the scatter plot. Call pca_ranking separately +if you want to change the default settings. + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.pca_overview.html>`__ + +Embedding: Scatter plot in tSNE basis (`pl.tsne`) +================================================= + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.tsne.html>`__ + +Embeddings: Scatter plot in UMAP basis (`pl.umap`) +================================================== + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.umap.html>`__ + +Embeddings: Scatter plot in Diffusion Map basis (`pl.diffmap`) +============================================================== + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.diffmap.html>`__ + +Branching trajectories and pseudotime, clustering: Plot groups and pseudotime (`pl.dpt_groups_pseudotime`) +=========================================================================================================== + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.dpt_groups_pseudotime.html>`__ + +Branching trajectories and pseudotime, clustering: Heatmap of pseudotime series (`pl.dpt_timeseries`) +===================================================================================================== + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.dpt_timeseries.html>`__ + + +Branching trajectories and pseudotime, clustering: Plot the abstracted graph through thresholding low-connectivity edges (`pl.paga`) +==================================================================================================================================== + +This uses ForceAtlas2 or igraph's layout algorithms for most layouts. + +When initializing the positions, note that - for some reason - igraph +mirrors coordinates along the x axis... that is, you should increase the +`maxiter` parameter by 1 if the layout is flipped. + +More details on the `scanpy documentation +<https://scanpy.readthedocs.io/en/latest/api/scanpy.pl.paga.html>`__ + + + ]]></help> + <expand macro="citations"/> +</tool>
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/pp.filter_cells.number_per_cell.krumsiek11-max_genes.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,641 @@ + cell_subset number_per_cell +0 True 9 +1 True 9 +2 True 9 +3 True 8 +4 True 8 +5 True 8 +6 True 8 +7 True 7 +8 True 8 +9 True 8 +10 True 7 +11 True 7 +12 True 7 +13 True 7 +14 True 8 +15 True 10 +16 True 10 +17 True 10 +18 True 11 +19 True 11 +20 True 11 +21 True 11 +22 True 11 +23 True 11 +24 True 11 +25 True 11 +26 True 11 +27 True 11 +28 True 11 +29 True 11 +30 True 11 +31 True 11 +32 True 11 +33 True 11 +34 True 11 +35 True 11 +36 True 11 +37 True 11 +38 True 11 +39 True 11 +40 True 11 +41 True 11 +42 True 11 +43 True 11 +44 True 11 +45 True 11 +46 True 11 +47 True 11 +48 True 10 +49 True 10 +50 True 10 +51 True 10 +52 True 10 +53 True 10 +54 True 10 +55 True 10 +56 True 11 +57 True 11 +58 True 11 +59 True 10 +60 True 10 +61 True 11 +62 True 10 +63 True 11 +64 True 10 +65 True 10 +66 True 11 +67 True 11 +68 True 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6 +626 True 7 +627 True 7 +628 True 7 +629 True 6 +630 True 5 +631 True 7 +632 True 6 +633 True 6 +634 True 7 +635 True 6 +636 True 8 +637 True 8 +638 True 6 +639 True 8
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/pp.filter_genes.number_per_gene.krumsiek11-min_counts.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,12 @@ +index n_counts +Gata2 163.95355 +Gata1 203.95117 +Fog1 83.94181 +EKLF 70.69286 +Fli1 57.56072 +SCL 202.67444 +Cebpa 469.87094 +Pu.1 250.78569 +cJun 188.10158 +EgrNab 164.99693 +Gfi1 159.99155
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/pp.filter_genes.number_per_gene.pbmc68k_reduced-max_cells.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,222 @@ + gene_subset number_per_gene +0 True 34 +1 True 123 +2 True 281 +3 True 54 +4 True 253 +5 True 63 +6 True 9 +7 True 266 +8 True 101 +9 True 233 +10 True 267 +11 True 285 +12 True 332 +13 True 197 +14 True 158 +15 True 64 +16 True 285 +17 True 229 +18 True 43 +19 True 199 +20 True 271 +21 True 318 +22 True 132 +23 True 83 +24 True 88 +25 True 87 +26 True 71 +27 True 258 +28 True 58 +29 True 348 +30 True 280 +31 True 150 +32 True 121 +33 True 237 +34 True 29 +35 True 220 +36 True 103 +37 True 87 +38 True 115 +39 True 100 +40 True 139 +41 True 23 +42 True 162 +43 True 76 +44 True 180 +45 True 51 +46 True 244 +47 True 132 +48 True 244 +49 True 82 +50 True 172 +51 True 27 +52 True 100 +53 True 327 +54 True 277 +55 True 282 +56 True 245 +57 True 21 +58 True 52 +59 True 19 +60 True 227 +61 True 288 +62 True 274 +63 True 301 +64 True 316 +65 True 314 +66 True 271 +67 True 270 +68 True 283 +69 True 245 +70 True 263 +71 True 312 +72 True 285 +73 True 228 +74 True 170 +75 True 11 +76 True 228 +77 True 192 +78 True 140 +79 True 15 +80 True 22 +81 True 10 +82 True 233 +83 True 129 +84 True 12 +85 True 297 +86 True 295 +87 True 127 +88 True 208 +89 True 281 +90 True 265 +91 True 254 +92 True 122 +93 True 76 +94 True 237 +95 True 74 +96 True 65 +97 True 45 +98 True 90 +99 True 147 +100 True 189 +101 True 170 +102 True 207 +103 True 14 +104 True 307 +105 True 267 +106 True 111 +107 True 94 +108 True 306 +109 True 126 +110 True 269 +111 True 116 +112 True 140 +113 True 260 +114 True 201 +115 True 198 +116 True 155 +117 True 256 +118 True 214 +119 True 70 +120 True 304 +121 True 336 +122 True 201 +123 True 305 +124 True 301 +125 True 301 +126 True 338 +127 True 81 +128 True 256 +129 True 277 +130 True 237 +131 True 173 +132 True 228 +133 True 64 +134 True 52 +135 True 34 +136 True 333 +137 True 285 +138 True 132 +139 True 32 +140 True 275 +141 True 31 +142 True 244 +143 True 15 +144 True 54 +145 True 289 +146 True 186 +147 True 283 +148 True 333 +149 True 53 +150 True 26 +151 True 173 +152 True 19 +153 True 109 +154 True 138 +155 True 264 +156 True 293 +157 True 225 +158 True 150 +159 True 62 +160 True 350 +161 True 13 +162 True 341 +163 True 223 +164 True 177 +165 True 15 +166 True 202 +167 True 101 +168 True 203 +169 True 271 +170 True 305 +171 True 45 +172 True 322 +173 True 164 +174 True 213 +175 True 55 +176 True 143 +177 True 112 +178 True 266 +179 True 168 +180 True 9 +181 True 300 +182 True 249 +183 True 101 +184 True 55 +185 True 312 +186 True 181 +187 True 256 +188 True 27 +189 True 242 +190 True 210 +191 True 12 +192 True 203 +193 True 41 +194 True 205 +195 True 315 +196 True 94 +197 True 262 +198 True 316 +199 True 13 +200 True 94 +201 True 204 +202 True 245 +203 True 11 +204 True 238 +205 True 301 +206 True 219 +207 True 106 +208 True 253 +209 True 134 +210 True 262 +211 True 222 +212 True 82 +213 True 153 +214 True 122 +215 True 211 +216 True 49 +217 True 211 +218 True 176 +219 True 329 +220 True 8
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/pp.filter_genes_dispersion.per_gene.krumsiek11-cell_ranger.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,12 @@ + gene_subset means dispersions dispersions_norm +0 False 0.22807331 -1.513815 +1 False 0.27662647 -0.6374868 +2 False 0.12324284 -1.1931922 +3 True 0.10477218 -0.8270577 0.67448974 +4 True 0.08612139 -0.880823 0.67448974 +5 False 0.2751125 -0.6042374 +6 False 0.55053085 -1.5924454 +7 False 0.3306357 -0.91260546 +8 False 0.25766766 -0.86990273 +9 False 0.22937028 -0.7354343 +10 False 0.223133 -0.96748924
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/pp.filter_genes_dispersion.per_gene.krumsiek11-seurat.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,9 @@ +index means dispersions dispersions_norm +Fog1 0.12324284 -1.1931922 1.0 +EKLF 0.10477218 -0.8270577 0.70710677 +SCL 0.2751125 -0.6042374 0.707108 +Cebpa 0.55053085 -1.5924454 1.0 +Pu.1 0.3306357 -0.91260546 1.0 +cJun 0.25766766 -0.86990273 1.0 +EgrNab 0.22937028 -0.7354343 0.7071069 +Gfi1 0.223133 -0.96748924 1.0
Binary file test-data/pp.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.h5ad has changed
Binary file test-data/pp.neighbors_umap_euclidean.recipe_weinreb17.paul15_subsample.h5ad has changed
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Binary file test-data/tl.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.h5ad has changed
Binary file test-data/tl.dpt.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.h5ad has changed
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/tl.dpt.diffmap.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.obs.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,101 @@ +index paul15_clusters dpt_groups dpt_order dpt_order_indices +578 13Baso 2 53 27 +2242 3Ery 1 30 46 +2690 10GMP 2 66 45 +70 5Ery 1 32 65 +758 15Mo 2 67 8 +465 16Neu 2 68 80 +245 16Neu 2 69 87 +2172 10GMP 2 70 90 +2680 10GMP 0 4 36 +1790 7MEP 2 71 59 +855 11DC 2 72 82 +2721 10GMP 2 73 30 +104 2Ery 1 38 62 +1106 2Ery 1 40 32 +2367 15Mo 3 93 35 +124 2Ery 1 41 37 +2477 8Mk 2 74 31 +1968 2Ery 1 42 78 +563 1Ery 1 43 28 +276 2Ery 1 44 56 +192 16Neu 2 75 42 +2409 2Ery 1 45 44 +2054 15Mo 3 95 75 +720 8Mk 2 76 48 +2225 14Mo 3 97 98 +878 6Ery 1 29 54 +156 7MEP 2 77 79 +1244 8Mk 0 0 40 +10 2Ery 1 18 83 +1108 6Ery 2 65 25 +353 5Ery 1 11 1 +182 5Ery 1 16 97 +2053 3Ery 1 13 3 +2291 16Neu 3 92 96 +2056 10GMP 2 79 95 +1047 2Ery 1 14 94 +1947 14Mo 0 8 92 +1390 3Ery 1 15 60 +2317 14Mo 2 90 12 +2348 11DC 2 82 69 +953 5Ery 1 27 13 +628 9GMP 2 83 15 +2691 5Ery 1 20 17 +1499 16Neu 3 96 18 +1083 2Ery 1 21 19 +831 14Mo 0 2 21 +15 7MEP 0 1 86 +2005 7MEP 2 87 66 +1662 3Ery 1 23 84 +2457 7MEP 2 64 89 +757 7MEP 2 81 70 +1642 14Mo 2 91 68 +2520 10GMP 2 89 67 +1393 7MEP 2 88 0 +2170 6Ery 1 25 73 +988 14Mo 2 86 76 +1338 2Ery 1 19 77 +2189 16Neu 2 85 81 +446 13Baso 2 84 85 +2276 14Mo 0 9 88 +317 2Ery 1 37 91 +1540 16Neu 3 99 93 +2164 4Ery 1 12 72 +227 15Mo 2 78 64 +906 12Baso 2 63 49 +716 15Mo 0 3 29 +912 14Mo 1 47 2 +2688 11DC 2 52 4 +1678 7MEP 2 51 5 +1063 6Ery 1 39 6 +1041 5Ery 1 50 7 +2279 15Mo 3 98 9 +558 13Baso 2 62 10 +2196 14Mo 2 54 11 +1270 13Baso 3 94 16 +2259 3Ery 1 22 20 +2410 13Baso 2 55 23 +886 7MEP 2 56 26 +2072 13Baso 1 17 63 +443 5Ery 1 26 34 +910 13Baso 0 5 99 +2608 15Mo 2 57 50 +2645 1Ery 1 10 39 +616 6Ery 1 28 41 +1866 2Ery 1 48 58 +923 7MEP 2 58 57 +1716 4Ery 1 46 55 +2476 11DC 0 6 47 +1872 10GMP 2 59 53 +1009 4Ery 1 49 52 +1680 6Ery 0 7 38 +1490 14Mo 2 60 51 +1454 2Ery 1 36 33 +2580 9GMP 2 61 14 +958 1Ery 1 35 74 +2626 2Ery 1 34 22 +1677 3Ery 1 33 43 +982 4Ery 1 31 24 +202 2Ery 1 24 71 +891 10GMP 2 80 61
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/tl.dpt.neighbors.paul15_gauss_braycurtis.obs.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,2731 @@ +index paul15_clusters dpt_pseudotime dpt_groups dpt_order dpt_order_indices +0 7MEP 0.077775456 1 172 404 +1 15Mo 0.70791066 2 2592 1876 +2 3Ery 0.9299172 1 1309 2408 +3 15Mo 0.6765072 2 2406 1880 +4 3Ery 0.86704516 1 1154 2098 +5 15Mo 0.58440965 2 1808 823 +6 4Ery 0.60054153 1 688 1149 +7 2Ery 0.43734095 1 539 2385 +8 3Ery 0.2407884 1 367 2384 +9 2Ery 0.8557937 1 1110 155 +10 2Ery 0.8691475 1 1164 2372 +11 17Neu 0.30127475 2 1456 2365 +12 14Mo 0.63893527 2 2068 164 +13 13Baso 0.5479835 2 1748 607 +14 3Ery 0.8603202 1 1134 167 +15 7MEP 0.117413916 1 270 1172 +16 3Ery 0.6879372 1 786 1908 +17 3Ery 0.84132445 1 1055 805 +18 2Ery 0.8558495 1 1111 2413 +19 8Mk 0.1685136 0 98 2417 +20 3Ery 0.27082652 1 399 1126 +21 9GMP 0.35508415 2 1510 2436 +22 8Mk 0.12326076 0 100 1815 +23 10GMP 0.36161897 2 1515 1616 +24 15Mo 0.65855885 2 2259 2511 +25 16Neu 0.6648798 2 2312 438 +26 4Ery 0.7767835 1 889 437 +27 13Baso 0.411375 2 1588 1607 +28 17Neu 0.2787515 2 1438 1089 +29 3Ery 0.7026065 1 798 2475 +30 2Ery 0.78192663 1 899 614 +31 3Ery 0.4758986 1 578 112 +32 5Ery 0.52930063 1 627 851 +33 3Ery 0.5440802 1 638 115 +34 13Baso 0.5579254 2 1766 2457 +35 1Ery 0.9610762 1 1324 423 +36 3Ery 0.94298 1 1317 1109 +37 6Ery 0.35788366 1 471 2452 +38 15Mo 0.73092824 2 2657 1858 +39 3Ery 0.47530073 1 577 1117 +40 3Ery 0.8309953 1 1021 1843 +41 14Mo 0.64247084 2 2108 384 +42 19Lymph 0.4615774 0 113 2323 +43 12Baso 0.3523068 2 1509 185 +44 3Ery 0.8736262 1 1184 1299 +45 14Mo 0.64636815 2 2144 2032 +46 6Ery 0.41744366 1 524 1306 +47 4Ery 0.7252952 1 817 261 +48 7MEP 0.2547727 2 1422 2154 +49 2Ery 0.8350906 1 1032 723 +50 13Baso 0.36504018 2 1520 2051 +51 14Mo 0.66908467 2 2351 720 +52 6Ery 0.26223817 1 393 737 +53 18Eos 0.3815021 2 1544 1393 +54 4Ery 0.8454671 1 1065 718 +55 3Ery 0.7204466 1 813 715 +56 3Ery 0.624237 1 720 308 +57 14Mo 0.63932437 2 2076 1384 +58 2Ery 0.84006816 1 1050 1378 +59 13Baso 0.6566314 2 2235 1348 +60 2Ery 0.85520875 1 1106 1370 +61 13Baso 0.6836325 2 2458 1360 +62 13Baso 0.6240188 2 1957 2136 +63 14Mo 0.6315316 2 2004 2522 +64 7MEP 0.12562352 0 94 2172 +65 7MEP 0.20317915 1 333 2025 +66 7MEP 0.14576882 2 1346 793 +67 10GMP 0.4374045 2 1628 1505 +68 12Baso 0.35526624 2 1511 2293 +69 6Ery 0.15430509 1 295 1484 +70 5Ery 0.29059684 1 421 636 +71 5Ery 0.41076174 1 516 1222 +72 14Mo 0.63960767 2 2078 2269 +73 4Ery 0.820214 1 994 1238 +74 16Neu 0.6670669 2 2332 248 +75 16Neu 0.6509542 2 2187 1244 +76 3Ery 0.66913307 1 766 1457 +77 2Ery 0.89367026 1 1250 1455 +78 6Ery 0.76215255 1 863 1265 +79 13Baso 0.59909 2 1840 229 +80 13Baso 0.45156288 2 1649 2221 +81 10GMP 0.49630007 2 1711 2005 +82 14Mo 0.6566849 2 2236 1280 +83 5Ery 0.45687908 1 559 743 +84 7MEP 0.14249937 0 127 350 +85 7MEP 0.0928669 1 216 2540 +86 5Ery 0.6481682 1 746 2097 +87 6Ery 0.26217386 1 392 1654 +88 2Ery 0.8884944 1 1232 499 +89 10GMP 0.07816703 1 173 2564 +90 10GMP 0.36928764 2 1526 2687 +91 2Ery 0.85090935 1 1086 1651 +92 7MEP 0.2221476 2 1399 890 +93 6Ery 0.22915362 1 356 1726 +94 7MEP 0.08779579 1 199 64 +95 14Mo 0.6131882 2 1902 961 +96 16Neu 0.6578041 2 2246 1790 +97 10GMP 0.43475908 2 1624 1787 +98 3Ery 0.79592675 1 927 19 +99 3Ery 0.8079216 1 959 2592 +100 13Baso 0.6605006 2 2280 22 +101 1Ery 1.0 1 1331 523 +102 14Mo 0.6370637 2 2050 541 +103 15Mo 0.7214093 2 2628 1738 +104 2Ery 0.73762625 1 832 540 +105 5Ery 0.21692096 1 344 474 +106 2Ery 0.8745584 1 1190 2611 +107 5Ery 0.30303305 1 430 1774 +108 3Ery 0.87296826 1 1179 2661 +109 14Mo 0.58798885 2 1815 2659 +110 10GMP 0.44662797 2 1644 922 +111 2Ery 0.8643726 1 1145 525 +112 7MEP 0.14947182 0 31 974 +113 4Ery 0.7285211 1 823 42 +114 9GMP 0.40913528 2 1585 993 +115 7MEP 0.13643783 0 33 1630 +116 3Ery 0.85794955 1 1122 2631 +117 16Neu 0.7009699 2 2561 1034 +118 11DC 0.5372636 3 2701 1647 +119 10GMP 0.37033108 2 1531 1681 +120 6Ery 0.32231367 1 446 2713 +121 3Ery 0.2562019 1 387 452 +122 2Ery 0.8032558 1 947 2718 +123 5Ery 0.79876626 1 935 2707 +124 2Ery 0.8192419 1 992 2708 +125 2Ery 0.80044454 1 940 1055 +126 5Ery 0.43929636 1 542 513 +127 14Mo 0.64730495 2 2154 84 +128 5Ery 0.5184172 1 619 2551 +129 14Mo 0.7214278 2 2629 2549 +130 3Ery 0.47004408 1 573 1808 +131 2Ery 0.8697594 1 1168 2544 +132 16Neu 0.63243085 2 2010 506 +133 2Ery 0.8984441 1 1267 840 +134 13Baso 0.4428648 2 1634 2657 +135 16Neu 0.6703501 2 2360 1130 +136 2Ery 0.8305287 1 1019 479 +137 3Ery 0.87886757 1 1206 2232 +138 3Ery 0.7002867 1 797 2091 +139 14Mo 0.6564193 2 2233 867 +140 5Ery 0.6211381 1 714 870 +141 16Neu 0.72532946 2 2645 2617 +142 14Mo 0.6286634 2 1984 999 +143 14Mo 0.51324356 2 1722 1095 +144 13Baso 0.64119786 2 2095 1875 +145 3Ery 0.8538894 1 1097 1023 +146 14Mo 0.6575185 2 2243 1857 +147 7MEP 0.10140075 1 239 1036 +148 14Mo 0.4708468 2 1678 2547 +149 10GMP 0.4715659 2 1680 2531 +150 2Ery 0.36951056 1 477 165 +151 14Mo 0.42858633 2 1617 1065 +152 15Mo 0.7037679 2 2576 1264 +153 14Mo 0.6135021 2 1905 1420 +154 16Neu 0.69316083 2 2518 2065 +155 10GMP 0.28390962 0 9 1942 +156 7MEP 0.2121948 2 1394 907 +157 5Ery 0.27825853 1 405 1271 +158 16Neu 0.70022595 2 2556 2334 +159 2Ery 0.66383225 1 756 1527 +160 16Neu 0.65058297 2 2183 1745 +161 14Mo 0.708129 2 2593 1125 +162 10GMP 0.4450716 2 1639 994 +163 16Neu 0.680672 2 2440 1288 +164 8Mk 0.13923419 0 12 2612 +165 7MEP 0.06780942 1 150 771 +166 14Mo 0.66853946 2 2348 1624 +167 7MEP 0.10103297 0 14 826 +168 2Ery 0.8126849 1 973 1110 +169 14Mo 0.64315915 2 2115 2545 +170 14Mo 0.63719016 2 2051 2378 +171 4Ery 0.57008606 1 658 1150 +172 5Ery 0.4821834 1 586 0 +173 14Mo 0.63845503 2 2063 89 +174 14Mo 0.66212815 2 2290 617 +175 10GMP 0.17640513 2 1369 2563 +176 6Ery 0.1496883 1 293 1186 +177 5Ery 0.45723748 1 560 1839 +178 14Mo 0.6476841 2 2156 2674 +179 3Ery 0.87447643 1 1188 1664 +180 5Ery 0.3488127 1 464 2653 +181 15Mo 0.6801838 2 2435 1324 +182 5Ery 0.68149966 1 782 2483 +183 14Mo 0.643272 2 2116 1576 +184 16Neu 0.65975946 2 2271 332 +185 8Mk 0.120203294 0 43 2361 +186 3Ery 0.8554299 1 1108 429 +187 14Mo 0.539332 2 1743 972 +188 12Baso 0.24081178 2 1409 367 +189 14Mo 0.508386 2 1719 1304 +190 3Ery 0.8632086 1 1140 396 +191 5Ery 0.24971066 1 377 1228 +192 16Neu 0.67274857 2 2383 2609 +193 15Mo 0.66296846 2 2297 1165 +194 13Baso 0.5965145 2 1832 566 +195 5Ery 0.5286252 1 626 965 +196 3Ery 0.7429267 1 845 515 +197 13Baso 0.5819139 2 1804 2514 +198 12Baso 0.2439489 2 1414 632 +199 8Mk 0.19748142 2 1380 94 +200 7MEP 0.13545541 2 1338 2434 +201 6Ery 0.30099535 1 428 952 +202 2Ery 0.8127602 1 975 1781 +203 3Ery 0.98407465 1 1330 377 +204 3Ery 0.9179601 1 1298 2016 +205 15Mo 0.7134846 2 2614 1710 +206 3Ery 0.23517895 1 365 2565 +207 3Ery 0.7918414 1 918 1545 +208 3Ery 0.5082045 1 606 1451 +209 8Mk 0.12728901 2 1336 1128 +210 2Ery 0.8392874 1 1047 2421 +211 2Ery 0.847325 1 1073 597 +212 14Mo 0.66207683 2 2289 1259 +213 3Ery 0.7848031 1 904 2101 +214 15Mo 0.6804725 2 2436 1890 +215 14Mo 0.64867747 2 2165 1564 +216 7MEP 0.116653435 1 269 85 +217 15Mo 0.6827861 2 2452 1071 +218 3Ery 0.49434087 1 596 1979 +219 3Ery 0.71508265 1 811 2487 +220 13Baso 0.5699776 2 1783 2672 +221 15Mo 0.6881255 2 2489 2418 +222 3Ery 0.85323954 1 1095 2649 +223 15Mo 0.67160183 2 2372 2288 +224 13Baso 0.6387988 2 2067 2727 +225 3Ery 0.6746057 1 774 2636 +226 15Mo 0.615951 2 1916 1693 +227 15Mo 0.6776098 2 2414 1714 +228 13Baso 0.6914276 2 2505 1500 +229 19Lymph 0.3576403 0 79 631 +230 4Ery 0.6243151 1 721 2453 +231 3Ery 0.621136 1 713 2468 +232 14Mo 0.62987256 2 1997 1284 +233 4Ery 0.8434601 1 1061 1707 +234 6Ery 0.28282624 1 410 1209 +235 16Neu 0.7272877 2 2649 2001 +236 14Mo 0.64645416 2 2147 1437 +237 3Ery 0.9233844 1 1303 2160 +238 17Neu 0.2620721 2 1427 1406 +239 15Mo 0.68135357 2 2444 147 +240 4Ery 0.31448224 1 443 886 +241 3Ery 0.8143819 1 980 1859 +242 6Ery 0.1648995 1 305 929 +243 14Mo 0.6433311 2 2117 699 +244 3Ery 0.6715719 1 770 2603 +245 16Neu 0.72223574 2 2633 1584 +246 14Mo 0.6560468 2 2229 923 +247 15Mo 0.70611167 2 2588 354 +248 7MEP 0.14242269 0 74 512 +249 13Baso 0.59484446 2 1829 2630 +250 15Mo 0.5749542 2 1789 847 +251 14Mo 0.6360989 2 2039 382 +252 3Ery 0.6995043 1 794 376 +253 2Ery 0.7657745 1 873 1118 +254 2Ery 0.9259877 1 1307 2493 +255 14Mo 0.6237018 2 1955 314 +256 2Ery 0.8576858 1 1121 2443 +257 13Baso 0.3868042 2 1549 770 +258 2Ery 0.85599273 1 1112 2280 +259 3Ery 0.63856417 1 737 829 +260 13Baso 0.4650997 2 1670 1376 +261 12Baso 0.15308021 0 47 1702 +262 2Ery 0.81991804 1 993 569 +263 10GMP 0.38973424 2 1554 551 +264 5Ery 0.41918328 1 526 2516 +265 13Baso 0.66921073 2 2352 959 +266 3Ery 0.73407704 1 827 1254 +267 9GMP 0.34716716 2 1502 2020 +268 15Mo 0.6841512 2 2461 1593 +269 2Ery 0.8626446 1 1138 216 +270 10GMP 0.34952182 2 1505 15 +271 5Ery 0.4013932 1 507 1369 +272 5Ery 0.45606565 1 558 2159 +273 2Ery 0.849991 1 1083 676 +274 14Mo 0.57874835 2 1795 1900 +275 13Baso 0.6373881 2 2054 1225 +276 2Ery 0.8385346 1 1046 2194 +277 14Mo 0.6281297 2 1977 852 +278 16Neu 0.6924414 2 2511 759 +279 12Baso 0.20147559 2 1383 1773 +280 14Mo 0.62524277 2 1963 1581 +281 14Mo 0.6104051 2 1885 466 +282 3Ery 0.85490453 1 1103 2366 +283 14Mo 0.59650874 2 1831 2090 +284 13Baso 0.5622208 2 1770 1854 +285 12Baso 0.4156711 2 1594 2028 +286 5Ery 0.401165 1 506 2251 +287 10GMP 0.17313975 2 1364 1719 +288 14Mo 0.6204749 2 1937 2428 +289 4Ery 0.5120924 1 614 397 +290 15Mo 0.66839075 2 2344 1400 +291 11DC 0.81752753 3 2721 1680 +292 3Ery 0.509725 1 608 763 +293 4Ery 0.813106 1 976 176 +294 4Ery 0.38181266 1 489 2706 +295 4Ery 0.76509076 1 871 69 +296 4Ery 0.87591106 1 1197 539 +297 5Ery 0.51063365 1 610 2131 +298 1Ery 0.8824672 1 1212 2170 +299 16Neu 0.68615955 2 2473 2438 +300 14Mo 0.66951203 2 2355 1300 +301 2Ery 0.8850476 1 1221 1665 +302 5Ery 0.5097156 1 607 1143 +303 15Mo 0.6580656 2 2251 1494 +304 5Ery 0.35025886 1 466 2521 +305 2Ery 0.6263539 1 723 242 +306 5Ery 0.43606016 1 537 1565 +307 1Ery 0.8860106 1 1224 1223 +308 7MEP 0.1397054 0 56 616 +309 2Ery 0.7918758 1 919 2569 +310 14Mo 0.5742414 2 1787 327 +311 10GMP 0.15935415 2 1353 2017 +312 2Ery 0.69286364 1 790 1187 +313 14Mo 0.6649285 2 2314 1529 +314 6Ery 0.10972625 1 255 582 +315 9GMP 0.14322571 2 1345 2670 +316 3Ery 0.9303544 1 1310 2283 +317 2Ery 0.7869174 1 909 2602 +318 3Ery 0.66672796 1 762 1921 +319 12Baso 0.27733576 2 1436 2513 +320 2Ery 0.55252093 1 648 2450 +321 18Eos 0.45194703 2 1651 2709 +322 5Ery 0.54942983 1 643 909 +323 3Ery 0.5205649 1 621 1583 +324 15Mo 0.65866643 2 2261 1977 +325 14Mo 0.47523555 2 1686 947 +326 2Ery 0.8473012 1 1072 1749 +327 6Ery 0.17107 1 310 1275 +328 14Mo 0.48355934 2 1701 1289 +329 2Ery 0.87861824 1 1205 2586 +330 5Ery 0.505223 1 605 2326 +331 12Baso 0.28409764 2 1443 1958 +332 7MEP 0.08240016 1 184 1864 +333 17Neu 0.30939132 2 1469 65 +334 14Mo 0.66331893 2 2300 1725 +335 2Ery 0.8038146 1 949 2509 +336 5Ery 0.38177764 1 488 1969 +337 2Ery 0.8165995 1 986 800 +338 14Mo 0.6248555 2 1960 625 +339 13Baso 0.6698477 2 2357 1012 +340 15Mo 0.6653694 2 2315 2402 +341 2Ery 0.84707874 1 1069 1891 +342 13Baso 0.50575787 2 1718 2166 +343 16Neu 0.69383293 2 2522 2214 +344 5Ery 0.62179655 1 716 105 +345 14Mo 0.6385502 2 2064 881 +346 16Neu 0.6549534 2 2222 1724 +347 14Mo 0.6457497 2 2136 2183 +348 16Neu 0.73303634 2 2661 1044 +349 14Mo 0.6448673 2 2130 1660 +350 8Mk 0.17507522 0 84 713 +351 10GMP 0.37040418 2 1532 1906 +352 14Mo 0.61959416 2 1929 1372 +353 5Ery 0.40641704 1 509 819 +354 7MEP 0.105552085 1 247 2325 +355 2Ery 0.704613 1 800 1257 +356 14Mo 0.5300463 2 1734 93 +357 13Baso 0.6452987 2 2133 442 +358 2Ery 0.6124332 1 703 1735 +359 5Ery 0.48546103 1 589 1441 +360 14Mo 0.66013944 2 2278 854 +361 14Mo 0.61078626 2 1890 1653 +362 9GMP 0.41911614 2 1601 878 +363 4Ery 0.7925654 1 920 2625 +364 10GMP 0.40233228 2 1574 2294 +365 13Baso 0.63581777 2 2037 206 +366 10GMP 0.4421752 2 1631 956 +367 7MEP 0.08295093 1 188 8 +368 10GMP 0.4315819 2 1620 1472 +369 3Ery 0.34624436 1 460 553 +370 2Ery 0.85490924 1 1104 1184 +371 14Mo 0.63569385 2 2036 1688 +372 10GMP 0.33941463 2 1498 1461 +373 15Mo 0.6217826 2 1945 2542 +374 13Baso 0.6368307 2 2047 1877 +375 7MEP 0.14716133 2 1347 1514 +376 6Ery 0.10848203 1 252 1981 +377 7MEP 0.089286804 1 203 191 +378 5Ery 0.48074317 1 582 1008 +379 14Mo 0.6641282 2 2306 1925 +380 13Baso 0.6347226 2 2029 495 +381 10GMP 0.47413307 2 1684 1340 +382 7MEP 0.10748043 1 251 1965 +383 3Ery 0.71404564 1 810 1363 +384 7MEP 0.12329549 0 41 755 +385 13Baso 0.5557078 2 1759 1108 +386 1Ery 0.9219727 1 1301 1232 +387 14Mo 0.62004715 2 1933 121 +388 13Baso 0.63923115 2 2075 2598 +389 10GMP 0.28631178 2 1449 1310 +390 9GMP 0.40028816 2 1570 2036 +391 3Ery 0.54397213 1 637 1219 +392 13Baso 0.6493458 2 2169 87 +393 2Ery 0.87499654 1 1193 52 +394 13Baso 0.55176985 2 1751 2030 +395 2Ery 0.77246344 1 883 2295 +396 6Ery 0.08341501 1 190 1509 +397 6Ery 0.1342663 1 289 2158 +398 13Baso 0.6409392 2 2091 413 +399 3Ery 0.43239743 1 535 20 +400 13Baso 0.6209341 2 1940 2307 +401 11DC 0.7856716 3 2714 2635 +402 14Mo 0.6582676 2 2255 633 +403 10GMP 0.30549538 2 1460 1935 +404 8Mk 0.14833952 0 0 2104 +405 9GMP 0.39605552 2 1561 157 +406 2Ery 0.86013585 1 1132 2292 +407 13Baso 0.5227784 2 1725 866 +408 14Mo 0.62507004 2 1961 2606 +409 13Baso 0.40922868 2 1586 1056 +410 14Mo 0.65985715 2 2275 234 +411 5Ery 0.6274364 1 727 679 +412 14Mo 0.62796974 2 1976 1580 +413 5Ery 0.2694085 1 398 2259 +414 13Baso 0.6257928 2 1967 1113 +415 12Baso 0.28527358 2 1447 2703 +416 16Neu 0.71621954 2 2622 989 +417 11DC 0.74025565 3 2708 670 +418 13Baso 0.38879004 2 1552 1910 +419 13Baso 0.64534235 2 2134 1712 +420 2Ery 0.8532722 1 1096 1902 +421 2Ery 0.51078266 1 611 70 +422 14Mo 0.6014195 2 1841 2669 +423 7MEP 0.14008638 0 35 2419 +424 4Ery 0.45593196 1 557 1813 +425 6Ery 0.36709392 1 476 621 +426 13Baso 0.6532763 2 2203 598 +427 14Mo 0.63075477 2 2000 1834 +428 14Mo 0.6530416 2 2200 201 +429 6Ery 0.0827596 1 186 496 +430 12Baso 0.24686788 2 1417 107 +431 6Ery 0.3102571 1 437 1315 +432 14Mo 0.51882905 2 1724 2691 +433 2Ery 0.62175816 1 715 2132 +434 13Baso 0.6699973 2 2358 1212 +435 13Baso 0.6662049 2 2321 1592 +436 14Mo 0.6477791 2 2158 2537 +437 7MEP 0.123604 0 26 431 +438 7MEP 0.15461057 0 25 779 +439 15Mo 0.6744562 2 2394 1452 +440 5Ery 0.34425217 1 459 2284 +441 5Ery 0.34624964 1 461 2375 +442 5Ery 0.22933012 1 357 1487 +443 5Ery 0.5118294 1 612 240 +444 15Mo 0.65862507 2 2260 1882 +445 1Ery 0.84866804 1 1076 798 +446 13Baso 0.60363805 2 1853 120 +447 10GMP 0.46272323 2 1666 900 +448 12Baso 0.18676578 2 1374 807 +449 4Ery 0.7650713 1 870 1227 +450 7MEP 0.2256337 2 1400 1249 +451 15Mo 0.75476885 2 2682 486 +452 19Lymph 0.38952795 0 121 1600 +453 13Baso 0.6425501 2 2109 1803 +454 13Baso 0.6495441 2 2172 1597 +455 3Ery 0.83562136 1 1034 603 +456 3Ery 0.5236729 1 625 817 +457 15Mo 0.6848527 2 2468 1366 +458 16Neu 0.7599826 2 2686 1476 +459 13Baso 0.63763773 2 2056 440 +460 2Ery 0.8596655 1 1127 369 +461 15Mo 0.69842416 2 2547 441 +462 17Neu 0.2473733 2 1420 2639 +463 15Mo 0.5663368 2 1776 2398 +464 13Baso 0.45943582 2 1660 180 +465 16Neu 0.7275373 2 2651 1478 +466 6Ery 0.12873061 1 281 304 +467 5Ery 0.38838756 1 496 1285 +468 15Mo 0.6964181 2 2534 2623 +469 9GMP 0.28303823 2 1441 1619 +470 13Baso 0.64596003 2 2139 724 +471 15Mo 0.667781 2 2342 37 +472 13Baso 0.646025 2 2142 1392 +473 6Ery 0.17066944 2 1359 1788 +474 7MEP 0.14379716 0 105 1120 +475 12Baso 0.32452637 2 1483 2084 +476 15Mo 0.75072384 2 2677 425 +477 2Ery 0.85723346 1 1119 150 +478 13Baso 0.46502942 2 1669 1395 +479 10GMP 0.04609275 1 136 2424 +480 14Mo 0.7017341 2 2565 1482 +481 14Mo 0.6459697 2 2140 1066 +482 14Mo 0.6316111 2 2006 1608 +483 15Mo 0.76426214 2 2689 2458 +484 5Ery 0.40057713 1 504 2683 +485 16Neu 0.70215905 2 2568 893 +486 5Ery 0.32978076 1 451 2560 +487 14Mo 0.6755249 2 2403 680 +488 13Baso 0.6602428 2 2279 336 +489 15Mo 0.7713684 2 2694 294 +490 2Ery 0.8126877 1 974 2302 +491 2Ery 0.8082449 1 960 1025 +492 2Ery 0.74070585 1 839 2229 +493 13Baso 0.6101216 2 1879 1791 +494 13Baso 0.62257403 2 1948 750 +495 5Ery 0.25217026 1 380 1200 +496 5Ery 0.30277514 1 429 467 +497 9GMP 0.31012443 2 1471 522 +498 14Mo 0.6401772 2 2085 2150 +499 7MEP 0.16820945 0 88 565 +500 14Mo 0.55811936 2 1767 729 +501 11DC 0.80639267 3 2717 1054 +502 16Neu 0.6617467 2 2287 508 +503 2Ery 0.864137 1 1144 1675 +504 2Ery 0.6137529 1 705 484 +505 10GMP 0.31055188 2 1472 1347 +506 8Mk 0.1370245 0 132 286 +507 2Ery 0.80149466 1 944 271 +508 5Ery 0.39723697 1 502 1657 +509 13Baso 0.6037775 2 1855 353 +510 13Baso 0.69680727 2 2538 2568 +511 12Baso 0.42132813 2 1605 2615 +512 7MEP 0.10560555 1 248 1633 +513 7MEP 0.12565278 0 126 1703 +514 13Baso 0.64961535 2 2173 2663 +515 6Ery 0.085308544 1 196 2146 +516 5Ery 0.6439022 1 744 71 +517 16Neu 0.7725779 2 2695 845 +518 14Mo 0.6656286 2 2319 1176 +519 13Baso 0.63517976 2 2030 2222 +520 2Ery 0.81653786 1 985 786 +521 14Mo 0.6342387 2 2022 1538 +522 5Ery 0.38896155 1 497 2397 +523 7MEP 0.1556482 0 101 2079 +524 10GMP 0.5638895 2 1772 46 +525 19Lymph 0.48256105 0 111 1160 +526 14Mo 0.3686559 2 1525 264 +527 4Ery 0.74954736 1 852 836 +528 14Mo 0.59603536 2 1830 975 +529 12Baso 0.2087188 2 1392 1362 +530 9GMP 0.33148324 2 1488 1279 +531 15Mo 0.6408987 2 2089 2368 +532 17Neu 0.32455087 2 1484 1772 +533 7MEP 0.1741925 2 1366 966 +534 16Neu 0.74533373 2 2670 1453 +535 13Baso 0.6146607 2 1911 399 +536 3Ery 0.61985815 1 711 663 +537 15Mo 0.7284772 2 2653 306 +538 3Ery 0.6763472 1 776 1620 +539 7MEP 0.15466575 1 296 7 +540 8Mk 0.16307598 0 104 2359 +541 19Lymph 0.42836544 0 102 1920 +542 3Ery 0.5690135 1 656 126 +543 13Baso 0.64463484 2 2128 1302 +544 9GMP 0.5115024 2 1721 2178 +545 3Ery 0.54827344 1 641 1164 +546 3Ery 0.50083554 1 603 1549 +547 2Ery 0.8716601 1 1174 2024 +548 16Neu 0.7249372 2 2644 2278 +549 14Mo 0.64264417 2 2111 2389 +550 16Neu 0.70089287 2 2559 1488 +551 6Ery 0.11350911 1 263 1588 +552 14Mo 0.61121625 2 1893 1757 +553 5Ery 0.2416494 1 369 1191 +554 14Mo 0.6541473 2 2213 642 +555 14Mo 0.603425 2 1852 2236 +556 19Lymph 0.3211038 2 1482 964 +557 15Mo 0.6540754 2 2212 424 +558 13Baso 0.38293752 2 1546 272 +559 14Mo 0.6346919 2 2028 83 +560 13Baso 0.6240437 2 1958 177 +561 17Neu 0.32463032 2 1485 848 +562 14Mo 0.64171094 2 2104 1201 +563 1Ery 0.89444435 1 1254 2282 +564 2Ery 0.66557753 1 759 1195 +565 5Ery 0.39078924 1 499 2228 +566 6Ery 0.084743336 1 194 2242 +567 15Mo 0.7315276 2 2660 2000 +568 10GMP 0.38337302 2 1548 1771 +569 6Ery 0.11344586 1 262 876 +570 10GMP 0.3764257 2 1537 2652 +571 7MEP 0.17333683 2 1365 1182 +572 14Mo 0.6663886 2 2323 2310 +573 13Baso 0.5989463 2 1838 130 +574 2Ery 0.78037155 1 896 1446 +575 14Mo 0.61368805 2 1907 1028 +576 14Mo 0.68448853 2 2463 747 +577 6Ery 0.1388644 2 1342 39 +578 13Baso 0.44603145 2 1641 31 +579 14Mo 0.63326806 2 2018 1098 +580 14Mo 0.60686463 2 1869 2215 +581 2Ery 0.6770244 1 777 1053 +582 6Ery 0.17573795 1 314 378 +583 13Baso 0.5537081 2 1755 853 +584 10GMP 0.4111725 2 1587 2610 +585 15Mo 0.72743326 2 2650 1766 +586 16Neu 0.71139854 2 2607 172 +587 10GMP 0.39828664 2 1567 1669 +588 1Ery 0.9460409 1 1318 1765 +589 14Mo 0.6798868 2 2434 359 +590 12Baso 0.23929562 2 1407 2344 +591 10GMP 0.40722921 2 1583 2164 +592 12Baso 0.3664537 2 1522 1059 +593 16Neu 0.74401665 2 2667 1915 +594 10GMP 0.43295795 2 1622 1987 +595 13Baso 0.6242127 2 1959 1889 +596 16Neu 0.77508634 2 2697 218 +597 6Ery 0.092420846 1 211 1883 +598 5Ery 0.2949211 1 426 1716 +599 10GMP 0.3908214 2 1555 682 +600 13Baso 0.64001375 2 2084 2360 +601 19Lymph 0.42590317 2 1613 953 +602 14Mo 0.66540164 2 2316 1513 +603 5Ery 0.3331635 1 455 546 +604 13Baso 0.6260039 2 1970 1804 +605 13Baso 0.6328634 2 2013 330 +606 13Baso 0.6554083 2 2226 208 +607 19Lymph 0.3922469 0 13 302 +608 13Baso 0.58468205 2 1809 292 +609 4Ery 0.81208336 1 970 1727 +610 12Baso 0.13101894 2 1337 297 +611 10GMP 0.31112838 2 1473 421 +612 11DC 0.66302377 3 2703 443 +613 1Ery 0.95398074 1 1321 868 +614 19Lymph 0.46889454 0 30 289 +615 3Ery 0.8039646 1 950 1674 +616 6Ery 0.17005633 1 308 2272 +617 6Ery 0.079491004 1 174 1794 +618 2Ery 0.8108383 1 969 1178 +619 2Ery 0.89846635 1 1268 128 +620 13Baso 0.6315816 2 2005 2637 +621 3Ery 0.29319444 1 425 323 +622 15Mo 0.7548594 2 2683 2550 +623 2Ery 0.848683 1 1077 1511 +624 10GMP 0.37897837 2 1541 2546 +625 5Ery 0.2112121 1 338 456 +626 13Baso 0.6426201 2 2110 195 +627 9GMP 0.3768515 2 1539 32 +628 9GMP 0.4180773 2 1600 809 +629 12Baso 0.2954596 2 1452 1122 +630 17Neu 0.25745127 2 1424 1614 +631 6Ery 0.09741229 1 229 1026 +632 7MEP 0.086468436 1 198 2464 +633 6Ery 0.27443242 1 402 1323 +634 14Mo 0.6217398 2 1944 2403 +635 14Mo 0.6520949 2 2191 2267 +636 19Lymph 0.46130726 0 70 957 +637 13Baso 0.64642656 2 2145 391 +638 13Baso 0.6049071 2 1859 33 +639 2Ery 0.74058735 1 838 1497 +640 13Baso 0.55703986 2 1764 1764 +641 7MEP 0.19205247 2 1376 545 +642 3Ery 0.4525858 1 554 2049 +643 13Baso 0.5722917 2 1785 322 +644 15Mo 0.6433463 2 2118 1709 +645 13Baso 0.6136032 2 1906 1904 +646 11DC 0.82615495 3 2726 1776 +647 17Neu 0.3186474 2 1480 2266 +648 13Baso 0.4441894 2 1637 320 +649 14Mo 0.6288334 2 1987 1405 +650 2Ery 0.64118856 1 742 2093 +651 11DC 0.8071333 3 2718 1035 +652 13Baso 0.4832031 2 1699 1063 +653 13Baso 0.6284224 2 1982 2400 +654 2Ery 0.819176 1 991 1621 +655 2Ery 0.8488807 1 1078 2134 +656 16Neu 0.6857466 2 2471 542 +657 14Mo 0.6729518 2 2385 2046 +658 10GMP 0.3658734 2 1521 171 +659 16Neu 0.71132725 2 2606 1463 +660 13Baso 0.68996805 2 2500 2039 +661 10GMP 0.59056973 2 1822 943 +662 16Neu 0.70749354 2 2591 1068 +663 2Ery 0.4338399 1 536 731 +664 14Mo 0.6162951 2 1917 2122 +665 12Baso 0.27064347 2 1431 1822 +666 9GMP 0.3098769 2 1470 1992 +667 2Ery 0.8363557 1 1037 1030 +668 2Ery 0.90653366 1 1282 1941 +669 2Ery 0.73101 1 824 2601 +670 6Ery 0.28610852 1 417 1067 +671 13Baso 0.6164028 2 1919 2185 +672 14Mo 0.56116444 2 1769 1112 +673 2Ery 0.6612147 1 754 1367 +674 5Ery 0.6210599 1 712 1042 +675 16Neu 0.76595235 2 2691 2562 +676 6Ery 0.12076999 1 273 2429 +677 13Baso 0.52741665 2 1732 1659 +678 14Mo 0.63084096 2 2001 1718 +679 5Ery 0.28350767 1 411 933 +680 5Ery 0.38075808 1 487 2063 +681 2Ery 0.8939503 1 1251 1723 +682 4Ery 0.49549425 1 599 1408 +683 2Ery 0.8664545 1 1152 1896 +684 10GMP 0.57947654 2 1799 1153 +685 5Ery 0.740495 1 837 1460 +686 13Baso 0.56466454 2 1774 2333 +687 13Baso 0.5797826 2 1800 2502 +688 2Ery 0.8003816 1 939 6 +689 12Baso 0.20204893 2 1385 1115 +690 12Baso 0.24330032 2 1413 979 +691 15Mo 0.71477133 2 2619 777 +692 13Baso 0.62924224 2 1991 2518 +693 13Baso 0.60825145 2 1872 2042 +694 13Baso 0.64782107 2 2159 2157 +695 13Baso 0.5847888 2 1811 1230 +696 10GMP 0.4357155 2 1625 927 +697 14Mo 0.7345531 2 2662 1759 +698 13Baso 0.6283173 2 1981 1775 +699 7MEP 0.103556946 1 243 1596 +700 13Baso 0.64230245 2 2107 924 +701 9GMP 0.12152586 2 1335 1783 +702 14Mo 0.6385707 2 2065 1329 +703 1Ery 0.9481687 1 1320 358 +704 3Ery 0.6277475 1 728 1777 +705 13Baso 0.66072595 2 2282 504 +706 13Baso 0.5893507 2 1817 727 +707 15Mo 0.70296514 2 2573 2331 +708 2Ery 0.82399166 1 1003 1873 +709 13Baso 0.5684177 2 1779 1135 +710 5Ery 0.8380937 1 1044 2492 +711 14Mo 0.70300424 2 2574 536 +712 3Ery 0.7991048 1 936 674 +713 6Ery 0.22432314 1 350 231 +714 2Ery 0.86723423 1 1155 140 +715 19Lymph 0.45584658 0 55 433 +716 15Mo 0.6725893 2 2380 344 +717 12Baso 0.34575555 2 1500 849 +718 7MEP 0.14431368 0 54 2075 +719 2Ery 0.96817917 1 1327 1004 +720 8Mk 0.17376061 0 51 56 +721 14Mo 0.6647712 2 2310 230 +722 14Mo 0.6627206 2 2294 858 +723 8Mk 0.11834818 0 49 305 +724 5Ery 0.35409144 1 470 1999 +725 14Mo 0.48222873 2 1696 1587 +726 2Ery 0.8306106 1 1020 1792 +727 3Ery 0.6161433 1 706 411 +728 9GMP 0.40361157 2 1577 704 +729 5Ery 0.39105207 1 500 1318 +730 3Ery 0.8553065 1 1107 1338 +731 5Ery 0.57465094 1 663 2181 +732 14Mo 0.6538144 2 2209 1652 +733 2Ery 0.8474706 1 1074 2033 +734 2Ery 0.887854 1 1229 1156 +735 14Mo 0.65256727 2 2195 2715 +736 16Neu 0.6543899 2 2217 1550 +737 9GMP 0.10761528 0 52 259 +738 16Neu 0.68983334 2 2498 2328 +739 15Mo 0.6925738 2 2513 1210 +740 10GMP 0.47501078 2 1685 1260 +741 3Ery 0.87342465 1 1182 2369 +742 14Mo 0.6471326 2 2153 650 +743 8Mk 0.10799089 0 83 1811 +744 14Mo 0.6589257 2 2266 516 +745 15Mo 0.673175 2 2387 1845 +746 16Neu 0.61969304 2 1932 86 +747 5Ery 0.47493407 1 576 2027 +748 14Mo 0.6512268 2 2188 1489 +749 16Neu 0.68403685 2 2460 901 +750 4Ery 0.38624105 1 494 1968 +751 2Ery 0.8742041 1 1186 2619 +752 13Baso 0.6502912 2 2182 883 +753 14Mo 0.6713383 2 2368 1290 +754 13Baso 0.55580646 2 1761 673 +755 5Ery 0.25347868 1 384 1508 +756 13Baso 0.49856633 2 1714 159 +757 7MEP 0.1614083 2 1355 977 +758 15Mo 0.6717412 2 2373 2519 +759 6Ery 0.1256032 1 278 564 +760 16Neu 0.66683507 2 2330 2379 +761 15Mo 0.6686958 2 2350 2089 +762 12Baso 0.25790322 2 1425 318 +763 6Ery 0.14769283 1 292 998 +764 13Baso 0.5901514 2 1820 1000 +765 14Mo 0.6979707 2 2544 838 +766 16Neu 0.6811836 2 2442 76 +767 14Mo 0.67708206 2 2409 1878 +768 14Mo 0.621875 2 1946 1523 +769 2Ery 0.8832284 1 1216 2315 +770 6Ery 0.10987611 1 257 244 +771 6Ery 0.075167954 1 165 1532 +772 13Baso 0.6038462 2 1856 982 +773 14Mo 0.65487355 2 2221 1838 +774 16Neu 0.69641143 2 2533 225 +775 2Ery 0.8790577 1 1207 1132 +776 2Ery 0.8726579 1 1178 538 +777 5Ery 0.6029266 1 691 581 +778 2Ery 0.8410844 1 1053 1491 +779 5Ery 0.3103411 1 438 1985 +780 1Ery 0.8890763 1 1234 1976 +781 13Baso 0.60364896 2 1854 1197 +782 14Mo 0.62564826 2 1966 182 +783 14Mo 0.63690966 2 2048 1158 +784 16Neu 0.7576488 2 2684 2114 +785 1Ery 0.88962495 1 1237 2524 +786 6Ery 0.41560265 1 520 16 +787 14Mo 0.6396559 2 2080 2591 +788 14Mo 0.6898833 2 2499 1996 +789 15Mo 0.66662127 2 2325 1685 +790 13Baso 0.66595095 2 2320 312 +791 15Mo 0.57936394 2 1797 2105 +792 1Ery 0.8687093 1 1162 1855 +793 8Mk 0.17402695 0 66 2100 +794 15Mo 0.6552263 2 2225 252 +795 14Mo 0.6975138 2 2541 2192 +796 10GMP 0.42752558 2 1614 1296 +797 9GMP 0.33357996 2 1492 138 +798 4Ery 0.31955263 1 445 29 +799 15Mo 0.65194166 2 2189 1826 +800 4Ery 0.2086904 1 337 355 +801 11DC 0.81749105 3 2720 2321 +802 2Ery 0.8861418 1 1225 2567 +803 14Mo 0.63292384 2 2015 2190 +804 14Mo 0.65235615 2 2192 2356 +805 8Mk 0.15916522 0 17 2169 +806 13Baso 0.4927984 2 1707 2725 +807 6Ery 0.32438838 1 448 1180 +808 13Baso 0.58428156 2 1807 2102 +809 4Ery 0.52932966 1 628 1946 +810 13Baso 0.46944234 2 1676 383 +811 15Mo 0.68911505 2 2494 219 +812 13Baso 0.581498 2 1803 1267 +813 4Ery 0.73880947 1 833 55 +814 2Ery 0.8628668 1 1139 2268 +815 16Neu 0.71517575 2 2620 2135 +816 2Ery 0.8395569 1 1048 1561 +817 5Ery 0.33653572 1 456 47 +818 2Ery 0.8530897 1 1094 1286 +819 5Ery 0.226795 1 353 2083 +820 10GMP 0.46068278 2 1662 1615 +821 13Baso 0.62820035 2 1979 1533 +822 13Baso 0.6062524 2 1867 2167 +823 8Mk 0.12845227 0 5 113 +824 16Neu 0.6377254 2 2057 669 +825 13Baso 0.59449005 2 1827 2151 +826 7MEP 0.07577381 1 167 2235 +827 4Ery 0.81749684 1 988 266 +828 13Baso 0.61778253 2 1923 1332 +829 6Ery 0.111053385 1 259 2088 +830 2Ery 0.7808952 1 898 2173 +831 14Mo 0.56237787 2 1771 2182 +832 16Neu 0.6737545 2 2390 104 +833 2Ery 0.88356143 1 1217 813 +834 13Baso 0.47939748 2 1690 1391 +835 14Mo 0.5561544 2 1762 2068 +836 6Ery 0.42176428 1 527 1213 +837 2Ery 0.8498424 1 1082 685 +838 2Ery 0.6687169 1 765 639 +839 2Ery 0.8090744 1 965 492 +840 8Mk 0.0 1 133 1051 +841 2Ery 0.8322366 1 1023 2297 +842 4Ery 0.88659936 1 1226 1585 +843 14Mo 0.6327262 2 2012 2665 +844 17Neu 0.27431032 2 1434 1413 +845 5Ery 0.41218385 1 517 196 +846 13Baso 0.6355582 2 2034 934 +847 7MEP 0.10656101 1 250 1926 +848 3Ery 0.45876855 1 561 1041 +849 5Ery 0.6230367 1 717 2482 +850 13Baso 0.68684834 2 2479 1937 +851 8Mk 0.1794823 0 32 2094 +852 6Ery 0.123965696 1 277 527 +853 5Ery 0.48125213 1 583 1983 +854 5Ery 0.2322284 1 360 1252 +855 11DC 0.7186674 3 2706 2277 +856 5Ery 0.7709247 1 881 955 +857 15Mo 0.6434417 2 2119 1140 +858 2Ery 0.62511003 1 722 1077 +859 2Ery 0.8470971 1 1071 1390 +860 15Mo 0.69026136 2 2501 1551 +861 15Mo 0.6993242 2 2550 1141 +862 13Baso 0.64839834 2 2164 1402 +863 14Mo 0.64083284 2 2088 78 +864 14Mo 0.61081946 2 1891 1819 +865 14Mo 0.6775297 2 2413 1365 +866 5Ery 0.2810868 1 407 869 +867 7MEP 0.058422204 1 139 2441 +868 3Ery 0.5119496 1 613 2165 +869 2Ery 0.7632259 1 866 2305 +870 7MEP 0.058981095 1 140 449 +871 1Ery 0.9139394 1 1290 295 +872 14Mo 0.6620114 2 2288 1327 +873 2Ery 0.8274752 1 1013 253 +874 15Mo 0.6483364 2 2163 1317 +875 13Baso 0.6110736 2 1892 1206 +876 4Ery 0.4658348 1 569 2676 +877 13Baso 0.6845588 2 2465 968 +878 6Ery 0.23311144 1 362 1094 +879 9GMP 0.39298093 2 1557 1997 +880 3Ery 0.9422073 1 1315 1069 +881 6Ery 0.2174569 1 345 856 +882 1Ery 0.8281847 1 1015 2554 +883 4Ery 0.6566011 1 752 395 +884 13Baso 0.64384097 2 2122 2110 +885 9GMP 0.37670454 2 1538 1683 +886 7MEP 0.10163303 1 240 1789 +887 14Mo 0.6344943 2 2023 1380 +888 13Baso 0.6354775 2 2032 2262 +889 13Baso 0.65199023 2 2190 26 +890 19Lymph 0.44437763 0 92 2015 +891 10GMP 0.41616938 2 1598 1537 +892 9GMP 0.3629158 2 1516 2729 +893 5Ery 0.37944368 1 485 1007 +894 16Neu 0.7048353 2 2581 1503 +895 14Mo 0.6263806 2 1971 1840 +896 15Mo 0.64785504 2 2161 574 +897 2Ery 0.85117954 1 1088 1196 +898 3Ery 0.87546855 1 1196 830 +899 13Baso 0.49733177 2 1712 30 +900 6Ery 0.3238728 1 447 2552 +901 4Ery 0.6516421 1 749 2121 +902 3Ery 0.89433396 1 1253 1471 +903 16Neu 0.7193694 2 2625 1970 +904 9GMP 0.3964659 2 1563 213 +905 9GMP 0.30621108 2 1462 2330 +906 12Baso 0.19354893 2 1377 1029 +907 7MEP 0.07072888 1 156 1314 +908 16Neu 0.6752211 2 2399 2207 +909 6Ery 0.18569969 1 322 317 +910 13Baso 0.6563779 2 2232 2123 +911 17Neu 0.29974103 2 1454 1570 +912 14Mo 0.6534837 2 2207 1784 +913 3Ery 0.87053186 1 1170 944 +914 16Neu 0.72223777 2 2634 1556 +915 13Baso 0.49937096 2 1715 2007 +916 14Mo 0.6667526 2 2328 2559 +917 3Ery 0.9001362 1 1271 1824 +918 14Mo 0.65668595 2 2237 207 +919 16Neu 0.67296433 2 2386 309 +920 2Ery 0.8623044 1 1136 363 +921 18Eos 0.4923125 2 1706 2582 +922 7MEP 0.12347177 0 110 1193 +923 7MEP 0.10440958 1 246 2363 +924 5Ery 0.61088234 1 700 1698 +925 16Neu 0.7056496 2 2584 2465 +926 2Ery 0.8131659 1 977 1465 +927 5Ery 0.60621905 1 696 98 +928 13Baso 0.66167134 2 2286 1817 +929 6Ery 0.10191569 1 242 1138 +930 14Mo 0.6598487 2 2273 1869 +931 12Baso 0.33732682 2 1497 2644 +932 13Baso 0.5476418 2 1747 1261 +933 5Ery 0.5906549 1 679 1039 +934 2Ery 0.74454355 1 846 1686 +935 2Ery 0.8776953 1 1203 123 +936 14Mo 0.62958187 2 1994 712 +937 16Neu 0.75214845 2 2678 2346 +938 14Mo 0.5931602 2 1824 1589 +939 1Ery 0.85897005 1 1125 688 +940 11DC 0.7140351 3 2705 125 +941 1Ery 0.90289366 1 1275 1802 +942 13Baso 0.4886552 2 1704 2080 +943 3Ery 0.57208216 1 661 1995 +944 5Ery 0.78966916 1 913 507 +945 16Neu 0.66735464 2 2335 2704 +946 16Neu 0.64990026 2 2176 1823 +947 6Ery 0.19188966 1 325 122 +948 1Ery 0.95985454 1 1323 1341 +949 14Mo 0.6542649 2 2216 335 +950 16Neu 0.6627863 2 2296 615 +951 2Ery 0.84598047 1 1066 1991 +952 10GMP 0.08845335 1 201 1894 +953 5Ery 0.4995515 1 601 2126 +954 14Mo 0.6496404 2 2174 1061 +955 2Ery 0.7534978 1 856 1821 +956 6Ery 0.2362472 1 366 1722 +957 5Ery 0.5435398 1 636 1410 +958 1Ery 0.93300325 1 1312 1416 +959 5Ery 0.11386657 1 265 99 +960 15Mo 0.68349713 2 2457 491 +961 19Lymph 0.46141756 0 95 1706 +962 10GMP 0.45743412 2 1656 2471 +963 2Ery 0.8374839 1 1042 1837 +964 5Ery 0.4531866 1 556 1989 +965 7MEP 0.084898815 1 195 839 +966 6Ery 0.43114048 1 533 1763 +967 11DC 0.7936443 3 2715 1700 +968 4Ery 0.7689675 1 877 1293 +969 15Mo 0.70987904 2 2602 618 +970 3Ery 0.8505681 1 1085 609 +971 2Ery 0.8948285 1 1258 2270 +972 7MEP 0.08292271 1 187 976 +973 1Ery 0.8829068 1 1215 168 +974 7MEP 0.12577914 0 112 490 +975 5Ery 0.42749405 1 528 202 +976 3Ery 0.81268126 1 972 293 +977 3Ery 0.6640961 1 757 926 +978 13Baso 0.56478524 2 1775 2357 +979 3Ery 0.60273427 1 690 2077 +980 15Mo 0.6795556 2 2431 241 +981 15Mo 0.65382504 2 2210 2022 +982 4Ery 0.6718976 1 772 1161 +983 14Mo 0.6137736 2 1908 2014 +984 2Ery 0.8784753 1 1204 1381 +985 2Ery 0.9023916 1 1274 520 +986 16Neu 0.7355067 2 2664 337 +987 13Baso 0.6506317 2 2185 1194 +988 14Mo 0.5872188 2 1814 827 +989 5Ery 0.28580442 1 416 1780 +990 16Neu 0.72113186 2 2627 1886 +991 14Mo 0.6397594 2 2082 654 +992 16Neu 0.68629026 2 2475 124 +993 8Mk 0.14575514 0 114 262 +994 7MEP 0.07290588 1 162 73 +995 8Mk 0.1731009 2 1363 1276 +996 14Mo 0.63830286 2 2062 1309 +997 10GMP 0.5596618 2 1768 1552 +998 5Ery 0.6676558 1 763 1448 +999 10GMP 0.06017755 1 142 2141 +1000 3Ery 0.6683017 1 764 2285 +1001 13Baso 0.55241865 2 1753 2711 +1002 14Mo 0.6228725 2 1952 2019 +1003 3Ery 0.89444697 1 1255 708 +1004 2Ery 0.6237472 1 719 1622 +1005 2Ery 0.87733173 1 1201 1524 +1006 14Mo 0.67475116 2 2395 1814 +1007 2Ery 0.77810943 1 893 2253 +1008 6Ery 0.2502513 1 378 2393 +1009 4Ery 0.8477745 1 1075 1800 +1010 15Mo 0.72438604 2 2641 1093 +1011 13Baso 0.625923 2 1969 1171 +1012 6Ery 0.2116992 1 339 1322 +1013 12Baso 0.241332 2 1410 873 +1014 16Neu 0.71099925 2 2605 1542 +1015 14Mo 0.65833217 2 2258 882 +1016 15Mo 0.68636656 2 2477 1047 +1017 13Baso 0.6281412 2 1978 1994 +1018 2Ery 0.8525291 1 1092 2381 +1019 14Mo 0.6325913 2 2011 136 +1020 14Mo 0.63238937 2 2009 726 +1021 12Baso 0.23162247 2 1405 40 +1022 10GMP 0.36753675 2 1523 1268 +1023 7MEP 0.06477637 1 145 841 +1024 2Ery 0.9055604 1 1281 1964 +1025 4Ery 0.38482952 1 491 1142 +1026 3Ery 0.5311635 1 631 2124 +1027 16Neu 0.69670516 2 2536 2130 +1028 5Ery 0.47192428 1 575 1828 +1029 2Ery 0.7866273 1 906 2106 +1030 3Ery 0.57709146 1 667 2455 +1031 2Ery 0.8905674 1 1241 2289 +1032 14Mo 0.67772084 2 2415 49 +1033 14Mo 0.6638529 2 2303 1424 +1034 8Mk 0.1516028 0 117 455 +1035 5Ery 0.560876 1 651 2120 +1036 7MEP 0.06540081 1 147 1389 +1037 7MEP 0.15955405 2 1354 667 +1038 16Neu 0.6911479 2 2503 2496 +1039 2Ery 0.7982678 1 933 1732 +1040 13Baso 0.57449526 2 1788 2249 +1041 5Ery 0.7450413 1 848 1281 +1042 5Ery 0.5835692 1 674 963 +1043 14Mo 0.67798233 2 2417 2301 +1044 6Ery 0.22363286 1 348 710 +1045 14Mo 0.6427963 2 2112 1543 +1046 7MEP 0.20434572 2 1388 276 +1047 2Ery 0.8285279 1 1016 210 +1048 13Baso 0.55571544 2 1760 816 +1049 2Ery 0.85431355 1 1101 1147 +1050 14Mo 0.60291684 2 1847 58 +1051 2Ery 0.74081326 1 840 1241 +1052 15Mo 0.67978317 2 2432 2286 +1053 3Ery 0.47961193 1 581 778 +1054 5Ery 0.39112484 1 501 1752 +1055 10GMP 0.118801765 0 125 17 +1056 6Ery 0.282436 1 409 1436 +1057 15Mo 0.65960735 2 2270 1307 +1058 1Ery 0.8692105 1 1165 1842 +1059 4Ery 0.49002138 1 592 2237 +1060 12Baso 0.22066869 2 1397 1085 +1061 4Ery 0.80479723 1 954 233 +1062 13Baso 0.66299826 2 2298 1374 +1063 6Ery 0.56429964 1 652 1708 +1064 3Ery 0.860155 1 1133 1520 +1065 8Mk 0.06855479 1 151 54 +1066 6Ery 0.37594453 1 481 951 +1067 3Ery 0.57971704 1 670 1572 +1068 3Ery 0.5723653 1 662 1175 +1069 4Ery 0.77009803 1 880 341 +1070 16Neu 0.7301309 2 2656 1717 +1071 7MEP 0.09317789 1 217 859 +1072 3Ery 0.93976355 1 1313 326 +1073 15Mo 0.69830996 2 2546 211 +1074 10GMP 0.40547022 2 1580 733 +1075 12Baso 0.34969506 2 1506 1009 +1076 3Ery 0.8839603 1 1218 445 +1077 3Ery 0.75600326 1 858 623 +1078 14Mo 0.65650856 2 2234 655 +1079 9GMP 0.30345842 2 1457 1100 +1080 12Baso 0.34091386 2 1499 1785 +1081 15Mo 0.69627076 2 2531 1694 +1082 15Mo 0.69796383 2 2543 837 +1083 2Ery 0.8552079 1 1105 273 +1084 14Mo 0.67056966 2 2362 1636 +1085 4Ery 0.8434504 1 1060 970 +1086 3Ery 0.8724864 1 1177 91 +1087 14Mo 0.6467807 2 2150 1312 +1088 14Mo 0.61021507 2 1881 897 +1089 8Mk 0.16311651 0 28 2626 +1090 16Neu 0.7889746 2 2700 1239 +1091 10GMP 0.35130596 2 1508 2155 +1092 2Ery 0.86561024 1 1151 1018 +1093 2Ery 0.8262713 1 1010 2684 +1094 3Ery 0.76929796 1 878 818 +1095 9GMP 0.062133025 1 143 222 +1096 15Mo 0.7245428 2 2642 420 +1097 14Mo 0.6413537 2 2098 145 +1098 5Ery 0.4778644 1 579 1157 +1099 14Mo 0.6297302 2 1995 2128 +1100 2Ery 0.84896135 1 1079 1967 +1101 13Baso 0.6062387 2 1866 1049 +1102 14Mo 0.66546875 2 2317 1134 +1103 14Mo 0.6328881 2 2014 282 +1104 14Mo 0.63566077 2 2035 370 +1105 2Ery 0.8989492 1 1269 1083 +1106 2Ery 0.91494644 1 1293 60 +1107 13Baso 0.6179538 2 1924 730 +1108 6Ery 0.25476006 1 385 186 +1109 7MEP 0.16892433 0 36 1598 +1110 7MEP 0.07623508 1 168 9 +1111 13Baso 0.5669007 2 1777 18 +1112 3Ery 0.5811692 1 672 258 +1113 3Ery 0.28452298 1 414 2510 +1114 14Mo 0.63123655 2 2002 1458 +1115 2Ery 0.60073036 1 689 2002 +1116 2Ery 0.857597 1 1120 1454 +1117 8Mk 0.15077296 0 39 1631 +1118 7MEP 0.1088423 1 253 1396 +1119 16Neu 0.7011181 2 2562 477 +1120 5Ery 0.36378887 1 474 1116 +1121 14Mo 0.6881218 2 2488 256 +1122 2Ery 0.53030884 1 629 116 +1123 14Mo 0.6795253 2 2430 1354 +1124 8Mk 0.13904361 2 1343 1897 +1125 7MEP 0.07285468 1 161 939 +1126 19Lymph 0.48664865 0 20 2387 +1127 14Mo 0.6793881 2 2428 460 +1128 12Baso 0.09220565 1 209 1553 +1129 13Baso 0.61038405 2 1884 2449 +1130 12Baso 0.03015226 1 135 1379 +1131 13Baso 0.6104455 2 1886 1417 +1132 4Ery 0.6747478 1 775 406 +1133 14Mo 0.6439471 2 2124 1064 +1134 2Ery 0.85488564 1 1102 14 +1135 5Ery 0.61810255 1 709 2113 +1136 11DC 0.76570946 3 2710 920 +1137 16Neu 0.7239118 2 2639 2021 +1138 3Ery 0.7961342 1 929 269 +1139 11DC 0.82728386 3 2727 814 +1140 3Ery 0.75501496 1 857 190 +1141 4Ery 0.75924146 1 861 1170 +1142 3Ery 0.8325254 1 1025 1907 +1143 6Ery 0.1635885 1 302 1425 +1144 15Mo 0.6284626 2 1983 503 +1145 17Neu 0.31717202 2 1478 111 +1146 14Mo 0.66776276 2 2341 2558 +1147 4Ery 0.8396043 1 1049 2205 +1148 9GMP 0.47953835 2 1692 1167 +1149 7MEP 0.11174975 0 6 1743 +1150 7MEP 0.07759933 1 171 1801 +1151 14Mo 0.64665836 2 2148 1092 +1152 13Baso 0.611278 2 1894 683 +1153 4Ery 0.594645 1 684 1971 +1154 13Baso 0.44740975 2 1646 4 +1155 14Mo 0.63800603 2 2060 714 +1156 3Ery 0.63815874 1 734 1331 +1157 2Ery 0.8541479 1 1098 2426 +1158 3Ery 0.6833606 1 783 1637 +1159 14Mo 0.63237417 2 2008 1944 +1160 6Ery 0.41831213 1 525 1990 +1161 2Ery 0.81438726 1 982 1199 +1162 10GMP 0.57068044 2 1784 792 +1163 13Baso 0.6300749 2 1999 1350 +1164 5Ery 0.4418342 1 545 10 +1165 7MEP 0.084248796 1 193 1058 +1166 13Baso 0.6201975 2 1936 1796 +1167 3Ery 0.8650133 1 1148 1793 +1168 2Ery 0.8759184 1 1198 131 +1169 14Mo 0.61966926 2 1931 1567 +1170 3Ery 0.863604 1 1141 913 +1171 2Ery 0.8268499 1 1011 1973 +1172 10GMP 0.1268016 0 15 2581 +1173 13Baso 0.6273109 2 1972 1922 +1174 14Mo 0.63742167 2 2055 547 +1175 4Ery 0.84698796 1 1068 1311 +1176 5Ery 0.4125936 1 518 1577 +1177 18Eos 0.38251024 2 1545 1086 +1178 2Ery 0.51684177 1 618 776 +1179 14Mo 0.6631688 2 2299 108 +1180 3Ery 0.7101149 1 807 1629 +1181 13Baso 0.54651254 2 1746 2409 +1182 5Ery 0.46659335 1 571 741 +1183 12Baso 0.28087816 2 1439 2553 +1184 5Ery 0.2417437 1 370 44 +1185 2Ery 0.9036633 1 1277 2383 +1186 7MEP 0.079829425 1 176 751 +1187 5Ery 0.17355415 1 312 1272 +1188 16Neu 0.68730265 2 2481 179 +1189 15Mo 0.65371096 2 2208 2312 +1190 14Mo 0.42172712 2 1606 106 +1191 5Ery 0.44938573 1 553 1836 +1192 16Neu 0.6587863 2 2263 1868 +1193 2Ery 0.7951527 1 922 393 +1194 2Ery 0.81660724 1 987 2543 +1195 6Ery 0.4634244 1 564 1899 +1196 2Ery 0.7808549 1 897 898 +1197 5Ery 0.6813551 1 781 296 +1198 14Mo 0.64095074 2 2092 1168 +1199 2Ery 0.8684184 1 1161 1464 +1200 3Ery 0.38792273 1 495 1677 +1201 5Ery 0.4596099 1 562 1005 +1202 16Neu 0.74491954 2 2669 1961 +1203 10GMP 0.46610743 2 1672 935 +1204 14Mo 0.6754392 2 2401 984 +1205 1Ery 0.9149159 1 1292 329 +1206 2Ery 0.7681644 1 875 137 +1207 3Ery 0.91241074 1 1286 775 +1208 15Mo 0.69770885 2 2542 1866 +1209 7MEP 0.098461516 1 234 1217 +1210 4Ery 0.6391501 1 739 1339 +1211 7MEP 0.17547216 2 1367 1574 +1212 5Ery 0.30726743 1 434 298 +1213 2Ery 0.7399551 1 836 1733 +1214 13Baso 0.6082896 2 1873 1262 +1215 14Mo 0.6345061 2 2025 973 +1216 15Mo 0.6381655 2 2061 769 +1217 2Ery 0.8800809 1 1209 833 +1218 14Mo 0.49605003 2 1710 1076 +1219 6Ery 0.2607627 1 391 1521 +1220 12Baso 0.39608195 2 1562 2353 +1221 2Ery 0.8880517 1 1230 301 +1222 19Lymph 0.43763757 0 71 1762 +1223 6Ery 0.16897786 1 307 2577 +1224 14Mo 0.6442689 2 2125 307 +1225 6Ery 0.12208061 1 275 802 +1226 17Neu 0.30859023 2 1467 842 +1227 6Ery 0.32498127 1 449 1812 +1228 6Ery 0.083925694 1 191 1442 +1229 9GMP 0.3509799 2 1507 734 +1230 3Ery 0.6041777 1 695 1221 +1231 14Mo 0.6293684 2 1992 1236 +1232 6Ery 0.2549454 1 386 88 +1233 15Mo 0.6179794 2 1925 1895 +1234 15Mo 0.74893093 2 2676 780 +1235 13Baso 0.6322805 2 2007 2466 +1236 3Ery 0.88811684 1 1231 1528 +1237 16Neu 0.709806 2 2601 785 +1238 7MEP 0.15549415 0 73 1729 +1239 3Ery 0.85182375 1 1090 2260 +1240 13Baso 0.67908466 2 2425 1635 +1241 3Ery 0.8403477 1 1051 1031 +1242 14Mo 0.63419366 2 2021 1485 +1243 14Mo 0.62830806 2 1980 1676 +1244 8Mk 0.113320716 0 75 1480 +1245 16Neu 0.71186113 2 2609 1573 +1246 14Mo 0.53000796 2 1733 1720 +1247 17Neu 0.3064897 2 1463 1650 +1248 3Ery 0.94688237 1 1319 2456 +1249 5Ery 0.32592246 1 450 1691 +1250 10GMP 0.42177463 2 1607 77 +1251 16Neu 0.68124163 2 2443 681 +1252 2Ery 0.75185335 1 854 2147 +1253 14Mo 0.59024215 2 1821 902 +1254 6Ery 0.11473352 1 266 563 +1255 14Mo 0.635554 2 2033 1003 +1256 13Baso 0.68569887 2 2470 1916 +1257 5Ery 0.22840591 1 355 1611 +1258 10GMP 0.2605162 2 1426 971 +1259 7MEP 0.09247267 1 212 2050 +1260 2Ery 0.63952 1 740 2203 +1261 2Ery 0.7968384 1 932 1388 +1262 2Ery 0.882711 1 1214 2140 +1263 14Mo 0.64771414 2 2157 1909 +1264 7MEP 0.06920466 1 152 2023 +1265 8Mk 0.15897211 0 78 2439 +1266 14Mo 0.6718906 2 2375 2354 +1267 2Ery 0.71611214 1 812 133 +1268 2Ery 0.83113605 1 1022 619 +1269 14Mo 0.60498536 2 1861 1105 +1270 13Baso 0.62136436 2 1942 1847 +1271 7MEP 0.07138902 1 157 917 +1272 4Ery 0.8744125 1 1187 1429 +1273 13Baso 0.6487906 2 2166 1295 +1274 13Baso 0.6505869 2 2184 985 +1275 5Ery 0.19478288 1 327 941 +1276 2Ery 0.821031 1 995 2156 +1277 18Eos 0.44732574 2 1645 1185 +1278 15Mo 0.687931 2 2484 2066 +1279 5Ery 0.42844564 1 530 1874 +1280 7MEP 0.14508064 0 82 2645 +1281 2Ery 0.8372359 1 1041 1024 +1282 13Baso 0.6352205 2 2031 668 +1283 14Mo 0.6588784 2 2264 1562 +1284 6Ery 0.09831304 1 232 1668 +1285 5Ery 0.35140684 1 467 2073 +1286 4Ery 0.7260739 1 818 1207 +1287 13Baso 0.6025444 2 1845 1313 +1288 7MEP 0.07410913 1 163 2211 +1289 5Ery 0.1964183 1 328 1438 +1290 5Ery 0.6572922 1 753 871 +1291 10GMP 0.31954953 2 1481 2329 +1292 16Neu 0.656264 2 2230 1205 +1293 2Ery 0.81009805 1 968 1106 +1294 14Mo 0.66084933 2 2283 2462 +1295 3Ery 0.9020579 1 1273 2171 +1296 2Ery 0.7002239 1 796 1852 +1297 10GMP 0.45521277 2 1655 2469 +1298 16Neu 0.69374883 2 2521 204 +1299 8Mk 0.12591279 0 44 2053 +1300 6Ery 0.16110094 1 300 1643 +1301 15Mo 0.6880167 2 2487 386 +1302 5Ery 0.4403574 1 543 1782 +1303 10GMP 0.41275603 2 1591 237 +1304 7MEP 0.08308525 1 189 1865 +1305 14Mo 0.6678024 2 2343 2108 +1306 19Lymph 0.4654791 0 46 1640 +1307 2Ery 0.84222424 1 1057 254 +1308 15Mo 0.67331016 2 2388 2265 +1309 3Ery 0.8212606 1 996 2 +1310 6Ery 0.25925377 1 389 316 +1311 1Ery 0.87208563 1 1175 1760 +1312 2Ery 0.8509749 1 1087 958 +1313 3Ery 0.91319674 1 1287 1072 +1314 4Ery 0.7866477 1 907 1467 +1315 6Ery 0.30339223 1 431 880 +1316 13Baso 0.65679574 2 2239 1423 +1317 3Ery 0.76592153 1 874 36 +1318 5Ery 0.6288591 1 729 588 +1319 14Mo 0.66389763 2 2304 1248 +1320 13Baso 0.6713691 2 2369 703 +1321 13Baso 0.6159448 2 1915 613 +1322 3Ery 0.8269319 1 1012 1662 +1323 4Ery 0.53566575 1 633 948 +1324 7MEP 0.08135115 1 181 35 +1325 10GMP 0.3694047 2 1527 2497 +1326 11DC 0.8223326 3 2724 2034 +1327 3Ery 0.76549166 1 872 719 +1328 13Baso 0.5231296 2 1728 2004 +1329 2Ery 0.6115133 1 702 2201 +1330 13Baso 0.6287122 2 1985 203 +1331 2Ery 0.8673369 1 1156 101 +1332 4Ery 0.7363593 1 828 2239 +1333 10GMP 0.3999526 2 1569 2074 +1334 16Neu 0.77446324 2 2696 2412 +1335 14Mo 0.56400186 2 1773 701 +1336 16Neu 0.6851315 2 2469 209 +1337 10GMP 0.3462297 2 1501 610 +1338 2Ery 0.629861 1 730 200 +1339 2Ery 0.88049614 1 1210 2720 +1340 6Ery 0.25285503 1 381 1428 +1341 3Ery 0.80378735 1 948 1697 +1342 14Mo 0.68048346 2 2437 577 +1343 14Mo 0.5515361 2 1750 1124 +1344 15Mo 0.6967234 2 2537 2230 +1345 10GMP 0.4367374 2 1626 315 +1346 13Baso 0.6474184 2 2155 66 +1347 3Ery 0.40064362 1 505 375 +1348 7MEP 0.11959786 0 59 2198 +1349 13Baso 0.64031935 2 2087 2142 +1350 2Ery 0.8690809 1 1163 1954 +1351 14Mo 0.63615495 2 2041 2477 +1352 14Mo 0.66708755 2 2333 2303 +1353 15Mo 0.69279313 2 2514 311 +1354 4Ery 0.8580644 1 1123 1037 +1355 15Mo 0.63452184 2 2027 757 +1356 14Mo 0.6742395 2 2391 2473 +1357 10GMP 0.31783035 2 1479 2571 +1358 13Baso 0.4334908 2 1623 2648 +1359 16Neu 0.6670978 2 2334 473 +1360 8Mk 0.16658957 0 61 1385 +1361 13Baso 0.60866374 2 1875 2191 +1362 5Ery 0.42812812 1 529 2137 +1363 6Ery 0.2534542 1 383 995 +1364 14Mo 0.6185627 2 1927 287 +1365 2Ery 0.76304656 1 865 571 +1366 6Ery 0.33673868 1 457 533 +1367 3Ery 0.5813914 1 673 1211 +1368 14Mo 0.5450077 2 1745 2523 +1369 7MEP 0.117591284 1 271 175 +1370 7MEP 0.14648554 0 60 2026 +1371 14Mo 0.6177499 2 1922 1539 +1372 5Ery 0.22615391 1 352 2580 +1373 13Baso 0.61065614 2 1887 2206 +1374 2Ery 0.843609 1 1062 448 +1375 16Neu 0.7248304 2 2643 2647 +1376 12Baso 0.11186951 1 260 641 +1377 14Mo 0.6378474 2 2058 906 +1378 8Mk 0.16314757 0 58 1678 +1379 4Ery 0.8600882 1 1130 1768 +1380 3Ery 0.7756422 1 887 199 +1381 2Ery 0.8146958 1 984 1679 +1382 14Mo 0.6529985 2 2199 1945 +1383 7MEP 0.24721782 2 1419 279 +1384 19Lymph 0.43719482 0 57 1386 +1385 7MEP 0.17151555 2 1360 689 +1386 10GMP 0.20190144 2 1384 2638 +1387 13Baso 0.61634314 2 1918 1586 +1388 2Ery 0.8959704 1 1261 1046 +1389 2Ery 0.83624583 1 1036 1579 +1390 3Ery 0.7584983 1 859 1559 +1391 3Ery 0.73954135 1 834 2213 +1392 6Ery 0.35832307 1 472 529 +1393 7MEP 0.19090831 0 53 2003 +1394 8Mk 0.3340445 2 1493 156 +1395 2Ery 0.37219444 1 478 2008 +1396 1Ery 0.8568995 1 1118 2685 +1397 9GMP 0.31491053 2 1476 1060 +1398 13Baso 0.6675197 2 2338 2520 +1399 15Mo 0.6684812 2 2347 92 +1400 6Ery 0.14498438 1 290 450 +1401 13Baso 0.6666415 2 2326 2012 +1402 3Ery 0.76168996 1 862 1535 +1403 16Neu 0.6581206 2 2252 2362 +1404 14Mo 0.6627434 2 2295 1885 +1405 5Ery 0.5590065 1 649 1021 +1406 7MEP 0.10122778 1 238 1412 +1407 13Baso 0.6397155 2 2081 590 +1408 4Ery 0.5938736 1 682 1827 +1409 13Baso 0.6788156 2 2422 188 +1410 2Ery 0.8073373 1 957 1013 +1411 15Mo 0.6726594 2 2382 1536 +1412 7MEP 0.23244335 2 1406 1795 +1413 3Ery 0.7422081 1 844 690 +1414 10GMP 0.43908823 2 1630 198 +1415 13Baso 0.6379811 2 2059 2600 +1416 3Ery 0.80744195 1 958 2162 +1417 1Ery 0.860122 1 1131 430 +1418 13Baso 0.45912775 2 1659 1932 +1419 13Baso 0.5510796 2 1749 1383 +1420 7MEP 0.07011532 1 153 462 +1421 16Neu 0.7218068 2 2630 2197 +1422 14Mo 0.6811293 2 2441 48 +1423 3Ery 0.94251055 1 1316 2263 +1424 2Ery 0.83532125 1 1033 630 +1425 1Ery 0.8637626 1 1143 762 +1426 13Baso 0.60657907 2 1868 1258 +1427 15Mo 0.6815699 2 2446 238 +1428 8Mk 0.1359186 2 1340 1473 +1429 2Ery 0.9020185 1 1272 1603 +1430 14Mo 0.6935044 2 2519 1638 +1431 14Mo 0.65258944 2 2196 665 +1432 14Mo 0.66938215 2 2353 2664 +1433 9GMP 0.416056 2 1596 1526 +1434 14Mo 0.6599 2 2277 844 +1435 14Mo 0.41167793 2 1589 1474 +1436 2Ery 0.8416091 1 1056 319 +1437 7MEP 0.09943954 1 236 1960 +1438 2Ery 0.91367626 1 1289 28 +1439 16Neu 0.65825665 2 2254 1183 +1440 10GMP 0.44560406 2 1640 2503 +1441 6Ery 0.23138134 1 359 469 +1442 2Ery 0.88703346 1 1228 1953 +1443 15Mo 0.6917211 2 2507 331 +1444 14Mo 0.5684295 2 1780 1566 +1445 15Mo 0.679012 2 2424 2246 +1446 3Ery 0.4708218 1 574 2096 +1447 12Baso 0.332191 2 1490 415 +1448 2Ery 0.82248193 1 998 1829 +1449 13Baso 0.6094279 2 1876 389 +1450 13Baso 0.6437005 2 2121 2388 +1451 7MEP 0.091493025 1 208 2570 +1452 6Ery 0.31090593 1 439 629 +1453 5Ery 0.4312712 1 534 2258 +1454 2Ery 0.85656106 1 1116 911 +1455 19Lymph 0.4460546 0 77 1758 +1456 14Mo 0.61074066 2 1889 11 +1457 12Baso 0.12560087 0 76 1079 +1458 2Ery 0.8563323 1 1114 1835 +1459 16Neu 0.7154216 2 2621 1604 +1460 4Ery 0.5978003 1 685 403 +1461 6Ery 0.24436565 1 372 2539 +1462 13Baso 0.50379235 2 1716 905 +1463 4Ery 0.5703159 1 659 1247 +1464 2Ery 0.87595403 1 1199 2149 +1465 4Ery 0.79584503 1 926 2583 +1466 15Mo 0.577664 2 1794 2118 +1467 1Ery 0.94204926 1 1314 1226 +1468 15Mo 0.7046206 2 2580 2478 +1469 13Baso 0.65555763 2 2227 333 +1470 15Mo 0.68244976 2 2450 666 +1471 3Ery 0.7844587 1 902 497 +1472 6Ery 0.240804 1 368 505 +1473 12Baso 0.26299474 2 1428 611 +1474 12Baso 0.27563432 2 1435 2103 +1475 13Baso 0.43879652 2 1629 1673 +1476 5Ery 0.34125823 1 458 1397 +1477 16Neu 0.6925171 2 2512 2161 +1478 6Ery 0.3492895 1 465 1145 +1479 13Baso 0.6715968 2 2371 1357 +1480 2Ery 0.89122385 1 1244 647 +1481 14Mo 0.6834755 2 2456 1291 +1482 3Ery 0.37358156 1 480 556 +1483 14Mo 0.67236036 2 2377 475 +1484 8Mk 0.103387676 0 69 532 +1485 2Ery 0.8909487 1 1242 561 +1486 9GMP 0.42873144 2 1618 2264 +1487 4Ery 0.31388837 1 442 2006 +1488 3Ery 0.44765 1 550 530 +1489 3Ery 0.65097034 1 748 1797 +1490 14Mo 0.65750307 2 2242 1447 +1491 2Ery 0.68054473 1 778 2163 +1492 10GMP 0.44493625 2 1638 797 +1493 16Neu 0.71061057 2 2603 1394 +1494 6Ery 0.16362946 1 303 2218 +1495 14Mo 0.62305784 2 1953 2694 +1496 16Neu 0.699929 2 2552 2244 +1497 5Ery 0.54693127 1 639 931 +1498 10GMP 0.47982457 2 1693 372 +1499 16Neu 0.6626213 2 2293 1080 +1500 12Baso 0.09705941 1 228 717 +1501 11DC 0.68174493 3 2704 1337 +1502 15Mo 0.69304824 2 2517 267 +1503 2Ery 0.7789428 1 894 2382 +1504 13Baso 0.5973336 2 1833 2335 +1505 7MEP 0.14866821 0 67 270 +1506 13Baso 0.62055576 2 1939 1075 +1507 13Baso 0.64692336 2 2151 1229 +1508 2Ery 0.66359746 1 755 1091 +1509 6Ery 0.2632227 1 396 43 +1510 14Mo 0.66405094 2 2305 21 +1511 5Ery 0.5220847 1 623 68 +1512 16Neu 0.709367 2 2598 2616 +1513 5Ery 0.49977124 1 602 2296 +1514 6Ery 0.24703214 1 375 1984 +1515 18Eos 0.36365065 2 1518 23 +1516 14Mo 0.6452469 2 2132 892 +1517 14Mo 0.5987 2 1836 2508 +1518 13Baso 0.67004424 2 2359 1515 +1519 15Mo 0.7018006 2 2566 2306 +1520 2Ery 0.84509635 1 1064 50 +1521 2Ery 0.88473237 1 1219 658 +1522 13Baso 0.5750397 2 1791 592 +1523 3Ery 0.6706715 1 768 1022 +1524 2Ery 0.8249246 1 1005 2445 +1525 15Mo 0.6866875 2 2478 526 +1526 12Baso 0.2721438 2 1433 90 +1527 7MEP 0.0719679 1 159 1325 +1528 3Ery 0.88943565 1 1236 1623 +1529 4Ery 0.17542325 1 313 2204 +1530 15Mo 0.6922373 2 2509 2245 +1531 14Mo 0.68392676 2 2459 119 +1532 4Ery 0.67179215 1 771 351 +1533 4Ery 0.7281175 1 821 1901 +1534 13Baso 0.5573176 2 1765 2107 +1535 9GMP 0.22831179 2 1402 2338 +1536 12Baso 0.24196415 2 1411 2425 +1537 2Ery 0.7775586 1 891 570 +1538 4Ery 0.4167773 1 521 885 +1539 9GMP 0.18077041 2 1371 627 +1540 16Neu 0.7000713 2 2553 2392 +1541 16Neu 0.711996 2 2610 624 +1542 2Ery 0.8274982 1 1014 2187 +1543 2Ery 0.83813167 1 1045 2574 +1544 16Neu 0.68959004 2 2497 53 +1545 7MEP 0.09135728 1 207 1177 +1546 14Mo 0.6085557 2 1874 558 +1547 14Mo 0.5837528 2 1806 2529 +1548 14Mo 0.42819872 2 1615 568 +1549 5Ery 0.4433239 1 546 257 +1550 5Ery 0.63846225 1 736 2364 +1551 3Ery 0.759146 1 860 2442 +1552 3Ery 0.82191306 1 997 418 +1553 2Ery 0.85990936 1 1128 1699 +1554 18Eos 0.48251304 2 1697 263 +1555 14Mo 0.669426 2 2354 599 +1556 3Ery 0.7909011 1 914 2474 +1557 14Mo 0.67126137 2 2367 879 +1558 14Mo 0.6196451 2 1930 2640 +1559 12Baso 0.20481816 2 1390 1731 +1560 14Mo 0.66692865 2 2331 2700 +1561 4Ery 0.7252938 1 816 405 +1562 3Ery 0.9096519 1 1283 1220 +1563 14Mo 0.6545225 2 2218 904 +1564 7MEP 0.09285175 1 215 1951 +1565 5Ery 0.16696979 1 306 1988 +1566 12Baso 0.2844469 2 1444 2247 +1567 2Ery 0.86976653 1 1169 587 +1568 15Mo 0.6723477 2 2376 1905 +1569 14Mo 0.67039394 2 2361 1333 +1570 3Ery 0.7870239 1 911 390 +1571 14Mo 0.6567271 2 2238 2507 +1572 2Ery 0.8469243 1 1067 2273 +1573 3Ery 0.8916135 1 1245 2446 +1574 2Ery 0.88169545 1 1211 364 +1575 16Neu 0.6871232 2 2480 2632 +1576 7MEP 0.081835866 1 183 2588 +1577 2Ery 0.8724617 1 1176 728 +1578 10GMP 0.43688247 2 1627 2394 +1579 7MEP 0.20481804 2 1389 2515 +1580 5Ery 0.28392234 1 412 1074 +1581 5Ery 0.12625182 1 280 2045 +1582 13Baso 0.44350016 2 1636 2431 +1583 6Ery 0.18663187 1 323 591 +1584 7MEP 0.104152106 1 245 2313 +1585 3Ery 0.74200606 1 842 114 +1586 10GMP 0.20334549 2 1387 409 +1587 5Ery 0.6267103 1 725 584 +1588 5Ery 0.44826776 1 551 27 +1589 1Ery 0.79994 1 938 1435 +1590 13Baso 0.6533033 2 2204 2604 +1591 15Mo 0.7135097 2 2615 1303 +1592 3Ery 0.30849886 1 435 2226 +1593 6Ery 0.1162077 1 268 2255 +1594 14Mo 0.662425 2 2292 285 +1595 11DC 0.6088318 3 2702 2117 +1596 3Ery 0.6107711 1 699 1433 +1597 3Ery 0.3320114 1 454 2528 +1598 3Ery 0.8557388 1 1109 891 +1599 16Neu 0.70054805 2 2558 2721 +1600 3Ery 0.3304239 1 452 628 +1601 9GMP 0.42355162 2 1609 362 +1602 14Mo 0.61034906 2 1883 2092 +1603 12Baso 0.26882833 2 1429 2533 +1604 9GMP 0.3050091 2 1459 1833 +1605 14Mo 0.6235331 2 1954 511 +1606 14Mo 0.6436629 2 2120 1190 +1607 8Mk 0.16535313 0 27 1250 +1608 5Ery 0.3772782 1 482 1998 +1609 15Mo 0.6033987 2 1851 1601 +1610 15Mo 0.6916678 2 2506 2320 +1611 3Ery 0.89479434 1 1257 1884 +1612 16Neu 0.6998624 2 2551 2336 +1613 15Mo 0.7058695 2 2586 601 +1614 4Ery 0.5308266 1 630 796 +1615 3Ery 0.72790354 1 820 1548 +1616 8Mk 0.13033713 0 23 2506 +1617 15Mo 0.70582956 2 2585 151 +1618 14Mo 0.6772816 2 2411 1486 +1619 5Ery 0.35269663 1 469 1914 +1620 3Ery 0.43719077 1 538 368 +1621 4Ery 0.56681836 1 654 1734 +1622 2Ery 0.8243618 1 1004 594 +1623 8Mk 0.36968464 2 1528 1358 +1624 7MEP 0.07554779 1 166 97 +1625 10GMP 0.52283514 2 1726 696 +1626 15Mo 0.52485013 2 1730 1345 +1627 14Mo 0.69505656 2 2526 1578 +1628 13Baso 0.523437 2 1729 67 +1629 3Ery 0.8731233 1 1180 1475 +1630 7MEP 0.13116732 0 115 1414 +1631 2Ery 0.8568905 1 1117 366 +1632 13Baso 0.6675366 2 2339 1642 +1633 2Ery 0.40800852 1 512 1934 +1634 10GMP 0.45468482 2 1654 134 +1635 2Ery 0.89049804 1 1240 1755 +1636 2Ery 0.8500862 1 1084 1582 +1637 2Ery 0.8680575 1 1158 648 +1638 12Baso 0.26892823 2 1430 1492 +1639 14Mo 0.6330346 2 2016 162 +1640 1Ery 0.92570883 1 1306 1440 +1641 14Mo 0.65772533 2 2245 578 +1642 14Mo 0.44257668 2 1632 2671 +1643 2Ery 0.92098576 1 1300 2662 +1644 14Mo 0.62538725 2 1965 110 +1645 16Neu 0.6786202 2 2419 1277 +1646 14Mo 0.69725275 2 2540 1154 +1647 8Mk 0.12294512 0 118 2618 +1648 16Neu 0.6141055 2 1910 2690 +1649 16Neu 0.65636754 2 2231 80 +1650 2Ery 0.89231056 1 1247 2256 +1651 8Mk 0.16745563 0 91 321 +1652 5Ery 0.6367235 1 732 1872 +1653 6Ery 0.2325324 1 361 1715 +1654 19Lymph 0.3715497 0 87 1634 +1655 15Mo 0.6345103 2 2026 1297 +1656 13Baso 0.47103396 2 1679 962 +1657 5Ery 0.4027044 1 508 2605 +1658 14Mo 0.67367053 2 2389 2624 +1659 5Ery 0.5844034 1 677 1418 +1660 6Ery 0.22374375 1 349 464 +1661 16Neu 0.68844825 2 2491 2675 +1662 3Ery 0.95886254 1 1322 820 +1663 15Mo 0.6390114 2 2072 1666 +1664 7MEP 0.080711186 1 179 2040 +1665 7MEP 0.1629603 1 301 2377 +1666 10GMP 0.46123955 2 1663 447 +1667 14Mo 0.67514896 2 2397 2069 +1668 3Ery 0.91156393 1 1284 2176 +1669 4Ery 0.48368582 1 587 478 +1670 13Baso 0.6253027 2 1964 260 +1671 15Mo 0.6966194 2 2535 2081 +1672 11DC 0.77270126 3 2711 1203 +1673 17Neu 0.3134791 2 1475 2505 +1674 4Ery 0.51323014 1 615 1704 +1675 6Ery 0.39889574 1 503 1736 +1676 3Ery 0.8910627 1 1243 810 +1677 3Ery 0.8766213 1 1200 2076 +1678 7MEP 0.193549 2 1378 148 +1679 8Mk 0.1981625 2 1381 1656 +1680 6Ery 0.14513375 1 291 149 +1681 11DC 0.40359208 0 119 1739 +1682 16Neu 0.69352436 2 2520 1938 +1683 3Ery 0.77419066 1 885 2488 +1684 14Mo 0.68951887 2 2496 381 +1685 4Ery 0.6904364 1 789 740 +1686 4Ery 0.7984339 1 934 325 +1687 11DC 0.81469065 3 2719 1705 +1688 3Ery 0.24274349 1 371 2404 +1689 14Mo 0.68927556 2 2495 2086 +1690 15Mo 0.6766163 2 2407 834 +1691 3Ery 0.8936424 1 1249 1939 +1692 10GMP 0.55306745 2 1754 1148 +1693 6Ery 0.09553083 1 226 1498 +1694 2Ery 0.84981155 1 1081 2199 +1695 16Neu 0.64594793 2 2138 2196 +1696 15Mo 0.6778577 2 2416 725 +1697 7MEP 0.13725281 2 1341 1554 +1698 3Ery 0.79541224 1 924 2485 +1699 10GMP 0.3888651 2 1553 652 +1700 3Ery 0.8099065 1 967 2217 +1701 14Mo 0.6428752 2 2113 328 +1702 7MEP 0.1123341 1 261 2451 +1703 6Ery 0.40910578 1 513 2696 +1704 10GMP 0.46800724 2 1674 942 +1705 10GMP 0.475795 2 1687 2517 +1706 3Ery 0.80853486 1 961 921 +1707 7MEP 0.09838557 1 233 806 +1708 2Ery 0.8442322 1 1063 1761 +1709 4Ery 0.54982644 1 644 2719 +1710 7MEP 0.09087004 1 205 1218 +1711 13Baso 0.60435915 2 1857 81 +1712 6Ery 0.28859922 1 419 899 +1713 15Mo 0.6912013 2 2504 2447 +1714 8Mk 0.09570589 1 227 756 +1715 10GMP 0.45364356 2 1653 915 +1716 4Ery 0.495359 1 598 1462 +1717 4Ery 0.8470872 1 1070 2722 +1718 3Ery 0.5906336 1 678 342 +1719 7MEP 0.13319716 1 287 189 +1720 2Ery 0.8919373 1 1246 2650 +1721 16Neu 0.6880136 2 2486 544 +1722 3Ery 0.8053245 1 956 143 +1723 3Ery 0.59154844 1 681 1924 +1724 6Ery 0.22257026 1 346 432 +1725 6Ery 0.20377606 1 334 407 +1726 7MEP 0.1297355 0 93 1625 +1727 4Ery 0.510408 1 609 2643 +1728 16Neu 0.6644082 2 2308 1328 +1729 2Ery 0.88991064 1 1238 1628 +1730 13Baso 0.5726026 2 1786 1626 +1731 10GMP 0.3958362 2 1559 1923 +1732 3Ery 0.83655345 1 1039 677 +1733 3Ery 0.88259953 1 1213 1246 +1734 10GMP 0.4321658 2 1621 356 +1735 6Ery 0.23063724 1 358 2056 +1736 14Mo 0.46822906 2 1675 1753 +1737 15Mo 0.6830026 2 2454 2689 +1738 7MEP 0.12200386 0 103 1747 +1739 13Baso 0.47224212 2 1681 2340 +1740 14Mo 0.65805936 2 2250 2223 +1741 14Mo 0.6589044 2 2265 2500 +1742 14Mo 0.62280583 2 1951 2129 +1743 2Ery 0.86529046 1 1149 187 +1744 16Neu 0.67238283 2 2378 2184 +1745 7MEP 0.072708435 1 160 1368 +1746 14Mo 0.67883795 2 2423 1181 +1747 10GMP 0.5326319 2 1738 932 +1748 14Mo 0.67177117 2 2374 13 +1749 6Ery 0.1943064 1 326 1419 +1750 14Mo 0.70148546 2 2563 1343 +1751 16Neu 0.71217567 2 2611 394 +1752 2Ery 0.84113747 1 1054 2714 +1753 10GMP 0.5308541 2 1736 1001 +1754 16Neu 0.67722404 2 2410 1692 +1755 14Mo 0.44348124 2 1635 583 +1756 14Mo 0.62986475 2 1996 2680 +1757 5Ery 0.4486881 1 552 1888 +1758 12Baso 0.29997686 2 1455 2481 +1759 4Ery 0.608385 1 697 385 +1760 3Ery 0.93125504 1 1311 1048 +1761 13Baso 0.4945602 2 1708 754 +1762 2Ery 0.88564116 1 1222 835 +1763 4Ery 0.8098541 1 966 2371 +1764 4Ery 0.54715794 1 640 640 +1765 3Ery 0.4847664 1 588 1534 +1766 3Ery 0.4818962 1 585 34 +1767 13Baso 0.6032167 2 1849 500 +1768 12Baso 0.19436117 2 1379 997 +1769 14Mo 0.7001368 2 2554 672 +1770 16Neu 0.7694436 2 2693 284 +1771 3Ery 0.46443757 1 568 831 +1772 5Ery 0.43072644 1 532 524 +1773 6Ery 0.12614644 1 279 1335 +1774 7MEP 0.15390535 0 107 686 +1775 4Ery 0.6085397 1 698 978 +1776 4Ery 0.55131096 1 646 463 +1777 5Ery 0.6136177 1 704 1111 +1778 14Mo 0.6061997 2 1865 2479 +1779 14Mo 0.5798578 2 1801 709 +1780 2Ery 0.81780946 1 989 1444 +1781 12Baso 0.08904648 1 202 2613 +1782 3Ery 0.92293984 1 1302 1963 +1783 5Ery 0.6114831 1 701 220 +1784 2Ery 0.78893 1 912 1162 +1785 2Ery 0.8497637 1 1080 643 +1786 16Neu 0.67526925 2 2400 1730 +1787 7MEP 0.11976697 0 97 310 +1788 5Ery 0.3613712 1 473 1040 +1789 2Ery 0.7742951 1 886 250 +1790 7MEP 0.12033818 0 96 2673 +1791 3Ery 0.38577488 1 493 1522 +1792 4Ery 0.6270341 1 726 2341 +1793 2Ery 0.869429 1 1167 2047 +1794 5Ery 0.5165175 1 617 1466 +1795 10GMP 0.24297883 2 1412 274 +1796 1Ery 0.8693192 1 1166 2536 +1797 10GMP 0.33169156 2 1489 791 +1798 11DC 0.72751445 3 2707 2048 +1799 16Neu 0.7109443 2 2604 684 +1800 2Ery 0.82551384 1 1009 687 +1801 2Ery 0.8654962 1 1150 1779 +1802 2Ery 0.80108505 1 941 2145 +1803 5Ery 0.3306596 1 453 812 +1804 5Ery 0.5032347 1 604 197 +1805 14Mo 0.6597815 2 2272 2480 +1806 14Mo 0.6538647 2 2211 1547 +1807 16Neu 0.67879754 2 2421 808 +1808 10GMP 0.15473711 0 130 5 +1809 14Mo 0.63668495 2 2046 608 +1810 14Mo 0.6446677 2 2129 1867 +1811 4Ery 0.64378184 1 743 695 +1812 2Ery 0.8869364 1 1227 2561 +1813 6Ery 0.29299694 1 424 1818 +1814 2Ery 0.82496387 1 1006 988 +1815 19Lymph 0.4750859 0 22 109 +1816 16Neu 0.70976955 2 2600 2627 +1817 1Ery 0.7959445 1 928 706 +1818 13Baso 0.58503485 2 1813 1943 +1819 3Ery 0.7628702 1 864 2337 +1820 15Mo 0.7235883 2 2638 764 +1821 3Ery 0.80504435 1 955 1253 +1822 5Ery 0.5750943 1 665 661 +1823 2Ery 0.8029648 1 946 2234 +1824 2Ery 0.79181045 1 917 938 +1825 16Neu 0.73942995 2 2666 2459 +1826 4Ery 0.7040848 1 799 2416 +1827 12Baso 0.23985429 2 1408 825 +1828 3Ery 0.8340505 1 1028 2596 +1829 12Baso 0.28582445 2 1448 249 +1830 14Mo 0.65821326 2 2253 528 +1831 15Mo 0.68829876 2 2490 283 +1832 14Mo 0.64546055 2 2135 194 +1833 10GMP 0.42025235 2 1604 1504 +1834 6Ery 0.2966817 1 427 2339 +1835 12Baso 0.304595 2 1458 2351 +1836 2Ery 0.8745617 1 1191 1517 +1837 3Ery 0.8088716 1 963 2309 +1838 4Ery 0.67289364 1 773 573 +1839 7MEP 0.08026737 1 177 2188 +1840 4Ery 0.7797429 1 895 79 +1841 15Mo 0.7090332 2 2596 422 +1842 2Ery 0.8426888 1 1058 2557 +1843 7MEP 0.30047432 0 40 2248 +1844 14Mo 0.72341067 2 2637 1978 +1845 3Ery 0.6468191 1 745 1287 +1846 13Baso 0.64112496 2 2094 2677 +1847 3Ery 0.8997456 1 1270 1050 +1848 15Mo 0.66678786 2 2329 2527 +1849 15Mo 0.6607137 2 2281 1767 +1850 13Baso 0.61071116 2 1888 1919 +1851 14Mo 0.61145175 2 1895 1609 +1852 4Ery 0.91678405 1 1296 555 +1853 14Mo 0.64882034 2 2167 446 +1854 6Ery 0.13039894 1 284 781 +1855 3Ery 0.69626176 1 792 509 +1856 14Mo 0.6438845 2 2123 772 +1857 8Mk 0.065373115 1 146 1711 +1858 8Mk 0.16909325 0 38 2180 +1859 7MEP 0.10165254 1 241 638 +1860 15Mo 0.67282104 2 2384 2430 +1861 15Mo 0.67878765 2 2420 1269 +1862 13Baso 0.6279648 2 1975 2099 +1863 16Neu 0.71328497 2 2613 2238 +1864 6Ery 0.20257135 1 332 2177 +1865 3Ery 0.923614 1 1304 1778 +1866 2Ery 0.8793438 1 1208 1101 +1867 13Baso 0.5847688 2 1810 822 +1868 3Ery 0.8747116 1 1192 1426 +1869 3Ery 0.79640377 1 930 580 +1870 13Baso 0.65268075 2 2197 2614 +1871 11DC 0.7843736 3 2713 2054 +1872 10GMP 0.45262593 2 1652 693 +1873 4Ery 0.61739683 1 708 1214 +1874 2Ery 0.9046305 1 1279 1546 +1875 7MEP 0.06351749 1 144 1361 +1876 7MEP 0.1423388 0 1 1449 +1877 6Ery 0.24661249 1 374 2642 +1878 3Ery 0.66917527 1 767 2435 +1879 16Neu 0.6929402 2 2516 493 +1880 7MEP 0.14202175 0 3 2219 +1881 14Mo 0.6289092 2 1988 1088 +1882 3Ery 0.31513155 1 444 2651 +1883 6Ery 0.4952584 1 597 1602 +1884 9GMP 0.42479885 2 1611 1129 +1885 12Baso 0.22971834 2 1404 281 +1886 3Ery 0.8183318 1 990 1131 +1887 14Mo 0.6396379 2 2079 1373 +1888 10GMP 0.55501586 2 1757 1850 +1889 4Ery 0.49318868 1 595 1456 +1890 7MEP 0.092693545 1 214 361 +1891 6Ery 0.21286751 1 341 864 +1892 14Mo 0.64291865 2 2114 875 +1893 14Mo 0.6299494 2 1998 552 +1894 4Ery 0.80439186 1 952 1152 +1895 3Ery 0.8886253 1 1233 1851 +1896 3Ery 0.5943844 1 683 2585 +1897 2Ery 0.85847515 1 1124 2573 +1898 16Neu 0.6953834 2 2529 2152 +1899 3Ery 0.8754178 1 1195 2011 +1900 7MEP 0.122030556 1 274 2318 +1901 18Eos 0.37064707 2 1533 2420 +1902 6Ery 0.2891313 1 420 95 +1903 13Baso 0.6295812 2 1993 2332 +1904 4Ery 0.55103993 1 645 2200 +1905 10GMP 0.3999108 2 1568 153 +1906 6Ery 0.22575957 1 351 645 +1907 2Ery 0.86368173 1 1142 575 +1908 12Baso 0.12744434 0 16 983 +1909 1Ery 0.8973962 1 1263 2622 +1910 4Ery 0.28796062 1 418 1648 +1911 13Baso 0.6237064 2 1956 535 +1912 14Mo 0.6649252 2 2313 1931 +1913 14Mo 0.7084656 2 2595 1955 +1914 13Baso 0.43091056 2 1619 2472 +1915 3Ery 0.49221727 1 593 1321 +1916 3Ery 0.89456785 1 1256 226 +1917 16Neu 0.67951095 2 2429 664 +1918 15Mo 0.7462156 2 2671 1387 +1919 14Mo 0.60336655 2 1850 671 +1920 3Ery 0.4382412 1 541 2072 +1921 6Ery 0.17945299 1 318 2427 +1922 2Ery 0.871122 1 1173 1371 +1923 10GMP 0.5263377 2 1731 828 +1924 14Mo 0.5133223 2 1723 1107 +1925 5Ery 0.25032014 1 379 1233 +1926 4Ery 0.7449228 1 847 2317 +1927 15Mo 0.67605036 2 2405 1364 +1928 13Baso 0.6363215 2 2043 2448 +1929 15Mo 0.68877196 2 2493 352 +1930 13Baso 0.6227394 2 1949 1558 +1931 14Mo 0.6148223 2 1912 1169 +1932 12Baso 0.24715036 2 1418 746 +1933 16Neu 0.66980743 2 2356 387 +1934 13Baso 0.44259718 2 1633 2658 +1935 6Ery 0.27593458 1 403 2352 +1936 15Mo 0.67519283 2 2398 1166 +1937 4Ery 0.7486727 1 850 288 +1938 14Mo 0.47311997 2 1682 2055 +1939 13Baso 0.47943172 2 1691 1506 +1940 15Mo 0.64577484 2 2137 400 +1941 3Ery 0.57714355 1 668 2314 +1942 10GMP 0.070291325 1 155 1270 +1943 13Baso 0.58958966 2 1818 2444 +1944 4Ery 0.86811495 1 1159 634 +1945 8Mk 0.19991656 2 1382 373 +1946 3Ery 0.7132808 1 809 768 +1947 14Mo 0.6595199 2 2269 2495 +1948 15Mo 0.67240435 2 2379 494 +1949 16Neu 0.6909981 2 2502 1930 +1950 15Mo 0.6419537 2 2105 2300 +1951 9GMP 0.3965054 2 1564 1742 +1952 16Neu 0.75975406 2 2685 1002 +1953 12Baso 0.28381324 2 1442 1495 +1954 10GMP 0.15789407 2 1350 1605 +1955 14Mo 0.6156825 2 1913 255 +1956 14Mo 0.64091545 2 2090 1911 +1957 14Mo 0.6667399 2 2327 62 +1958 7MEP 0.20166491 1 331 560 +1959 15Mo 0.65986997 2 2276 595 +1960 17Neu 0.27864906 2 1437 338 +1961 2Ery 0.8773501 1 1202 408 +1962 14Mo 0.65422183 2 2215 2287 +1963 14Mo 0.56948024 2 1782 280 +1964 4Ery 0.8325112 1 1024 1670 +1965 6Ery 0.25336298 1 382 1644 +1966 15Mo 0.68847847 2 2492 782 +1967 2Ery 0.8543089 1 1100 414 +1968 2Ery 0.6544664 1 750 2454 +1969 5Ery 0.20722313 1 336 1011 +1970 2Ery 0.7846794 1 903 604 +1971 2Ery 0.86650366 1 1153 895 +1972 14Mo 0.65335953 2 2205 1173 +1973 2Ery 0.87086326 1 1171 2422 +1974 14Mo 0.64784974 2 2160 2678 +1975 15Mo 0.64644957 2 2146 1862 +1976 5Ery 0.68117297 1 780 412 +1977 6Ery 0.18856433 1 324 277 +1978 13Baso 0.6024012 2 1844 1017 +1979 6Ery 0.09344822 1 218 821 +1980 13Baso 0.6463502 2 2143 1243 +1981 5Ery 0.2487112 1 376 698 +1982 15Mo 0.67440754 2 2393 653 +1983 3Ery 0.75009274 1 853 1144 +1984 10GMP 0.3602726 2 1514 142 +1985 2Ery 0.68055326 1 779 1330 +1986 14Mo 0.6499972 2 2178 2210 +1987 2Ery 0.49259976 1 594 649 +1988 14Mo 0.39688507 2 1565 1881 +1989 2Ery 0.80890965 1 964 2461 +1990 2Ery 0.86828595 1 1160 2599 +1991 2Ery 0.80403626 1 951 692 +1992 5Ery 0.57673305 1 666 1231 +1993 14Mo 0.67117536 2 2365 1903 +1994 1Ery 0.8286186 1 1017 936 +1995 5Ery 0.80122435 1 943 1099 +1996 4Ery 0.68955934 1 788 1756 +1997 2Ery 0.7694164 1 879 232 +1998 10GMP 0.4229138 2 1608 1893 +1999 2Ery 0.6264478 1 724 1163 +2000 2Ery 0.46427318 1 567 427 +2001 7MEP 0.09880815 1 235 678 +2002 2Ery 0.8563361 1 1115 1114 +2003 7MEP 0.20913294 2 1393 2327 +2004 1Ery 0.9793543 1 1328 63 +2005 7MEP 0.120198704 0 81 620 +2006 9GMP 0.33027112 2 1487 482 +2007 2Ery 0.79102075 1 915 1235 +2008 17Neu 0.2165167 2 1395 1159 +2009 14Mo 0.6415271 2 2101 1020 +2010 14Mo 0.6582938 2 2257 132 +2011 13Baso 0.6124933 2 1899 1019 +2012 7MEP 0.22798298 2 1401 843 +2013 16Neu 0.6818719 2 2447 605 +2014 2Ery 0.8146313 1 983 1103 +2015 2Ery 0.777303 1 890 803 +2016 7MEP 0.0895867 1 204 1639 +2017 6Ery 0.17116767 1 311 2370 +2018 14Mo 0.6592349 2 2267 579 +2019 4Ery 0.8235734 1 1002 2534 +2020 6Ery 0.11544419 1 267 2705 +2021 2Ery 0.8626003 1 1137 1242 +2022 4Ery 0.8143835 1 981 521 +2023 1Ery 0.89807314 1 1264 887 +2024 5Ery 0.44429657 1 547 2133 +2025 19Lymph 0.43129748 0 65 1215 +2026 8Mk 0.17650904 2 1370 1655 +2027 4Ery 0.6485199 1 747 1355 +2028 6Ery 0.13082534 1 285 559 +2029 13Baso 0.6387254 2 2066 380 +2030 6Ery 0.2625394 1 394 519 +2031 13Baso 0.68463624 2 2467 1282 +2032 7MEP 0.15132725 0 45 888 +2033 3Ery 0.63677657 1 733 1255 +2034 3Ery 0.9651047 1 1326 846 +2035 13Baso 0.6402312 2 2086 1104 +2036 3Ery 0.25938085 1 390 371 +2037 15Mo 0.7038739 2 2577 365 +2038 14Mo 0.6409798 2 2093 2498 +2039 6Ery 0.57188356 1 660 251 +2040 10GMP 0.46220222 2 1664 2231 +2041 16Neu 0.72600836 2 2647 1351 +2042 4Ery 0.6036259 1 693 2281 +2043 14Mo 0.67074907 2 2363 1928 +2044 14Mo 0.69637376 2 2532 2538 +2045 10GMP 0.40583676 2 1581 2254 +2046 3Ery 0.569849 1 657 1809 +2047 10GMP 0.57624406 2 1793 374 +2048 14Mo 0.579438 2 1798 783 +2049 3Ery 0.5491811 1 642 2168 +2050 4Ery 0.89484614 1 1259 102 +2051 19Lymph 0.45043454 0 50 170 +2052 14Mo 0.63899744 2 2070 2174 +2053 3Ery 0.91924924 1 1299 2555 +2054 15Mo 0.6080715 2 1871 275 +2055 15Mo 0.62048286 2 1938 1174 +2056 10GMP 0.5305052 2 1735 459 +2057 15Mo 0.6861956 2 2474 824 +2058 15Mo 0.6948545 2 2525 1377 +2059 14Mo 0.65828204 2 2256 1415 +2060 13Baso 0.6422325 2 2106 1155 +2061 16Neu 0.6530804 2 2202 1216 +2062 14Mo 0.6674573 2 2336 996 +2063 4Ery 0.5908803 1 680 173 +2064 14Mo 0.7168721 2 2623 345 +2065 9GMP 0.07012496 1 154 702 +2066 3Ery 0.90438986 1 1278 2029 +2067 14Mo 0.70408374 2 2578 224 +2068 3Ery 0.7396626 1 835 12 +2069 10GMP 0.46418574 2 1667 2463 +2070 16Neu 0.68280315 2 2453 2052 +2071 16Neu 0.74487156 2 2668 2512 +2072 13Baso 0.6166507 2 1920 1663 +2073 1Ery 0.9122819 1 1285 2405 +2074 6Ery 0.12010768 2 1333 2410 +2075 2Ery 0.62364227 1 718 388 +2076 14Mo 0.4704426 2 1677 57 +2077 2Ery 0.81381094 1 979 2324 +2078 14Mo 0.68794745 2 2485 72 +2079 5Ery 0.41744316 1 523 1887 +2080 2Ery 0.80113226 1 942 787 +2081 9GMP 0.4653097 2 1671 1407 +2082 13Baso 0.64523923 2 2131 991 +2083 2Ery 0.7261229 1 819 2530 +2084 3Ery 0.36534402 1 475 600 +2085 16Neu 0.69453007 2 2523 498 +2086 13Baso 0.47883293 2 1689 2035 +2087 14Mo 0.6494066 2 2170 1349 +2088 4Ery 0.7367926 1 829 863 +2089 3Ery 0.66645044 1 761 531 +2090 6Ery 0.1291099 1 283 1956 +2091 7MEP 0.056733537 1 138 398 +2092 10GMP 0.41920593 2 1602 1198 +2093 4Ery 0.5591511 1 650 2038 +2094 2Ery 0.74885994 1 851 1846 +2095 16Neu 0.67567194 2 2404 144 +2096 12Baso 0.28507507 2 1446 2726 +2097 19Lymph 0.49170446 0 86 2298 +2098 7MEP 0.1605838 0 4 1097 +2099 13Baso 0.605269 2 1862 2728 +2100 4Ery 0.6968858 1 793 2220 +2101 7MEP 0.09267421 1 213 2009 +2102 4Ery 0.7114726 1 808 2216 +2103 12Baso 0.31265053 2 1474 2548 +2104 5Ery 0.27636003 1 404 562 +2105 2Ery 0.6957384 1 791 1950 +2106 2Ery 0.8342915 1 1029 2060 +2107 9GMP 0.37111098 2 1534 700 +2108 1Ery 0.9238522 1 1305 41 +2109 11DC 0.8207592 3 2723 453 +2110 3Ery 0.77302086 1 884 626 +2111 14Mo 0.64440787 2 2126 549 +2112 16Neu 0.6845104 2 2464 1045 +2113 2Ery 0.86199117 1 1135 1701 +2114 5Ery 0.6838892 1 784 1892 +2115 14Mo 0.7069924 2 2590 169 +2116 15Mo 0.70460546 2 2579 183 +2117 9GMP 0.41586024 2 1595 243 +2118 9GMP 0.3085363 2 1466 644 +2119 14Mo 0.6685519 2 2349 857 +2120 2Ery 0.8360756 1 1035 1606 +2121 4Ery 0.783292 1 901 1450 +2122 5Ery 0.57507414 1 664 884 +2123 4Ery 0.78699994 1 910 1856 +2124 3Ery 0.832915 1 1026 1133 +2125 16Neu 0.6711163 2 2364 1224 +2126 2Ery 0.80447596 1 953 2111 +2127 16Neu 0.7052392 2 2583 2347 +2128 2Ery 0.8542717 1 1099 543 +2129 13Baso 0.5384484 2 1742 1810 +2130 2Ery 0.8329389 1 1027 349 +2131 6Ery 0.15527849 1 297 2082 +2132 6Ery 0.30687633 1 433 1516 +2133 14Mo 0.63449717 2 2024 357 +2134 2Ery 0.5680869 1 655 419 +2135 2Ery 0.7231623 1 815 1832 +2136 8Mk 0.16048568 0 62 347 +2137 8Mk 0.1726428 2 1362 1940 +2138 14Mo 0.65011233 2 2180 1695 +2139 14Mo 0.6773409 2 2412 470 +2140 1Ery 0.89664775 1 1262 481 +2141 4Ery 0.82275635 1 999 2467 +2142 7MEP 0.15743081 2 1349 472 +2143 16Neu 0.66750526 2 2337 1980 +2144 16Neu 0.70344424 2 2575 45 +2145 14Mo 0.5802189 2 1802 637 +2146 3Ery 0.41057852 1 515 1975 +2147 2Ery 0.8942725 1 1252 236 +2148 16Neu 0.71181357 2 2608 1151 +2149 17Neu 0.30724865 2 1464 2274 +2150 6Ery 0.389531 1 498 1087 +2151 2Ery 0.73148656 1 825 1507 +2152 14Mo 0.61232585 2 1898 2252 +2153 16Neu 0.694811 2 2524 742 +2154 7MEP 0.11341574 0 48 127 +2155 2Ery 0.85201895 1 1091 1346 +2156 3Ery 0.9030044 1 1276 178 +2157 2Ery 0.60391945 1 694 1263 +2158 6Ery 0.26373413 1 397 436 +2159 6Ery 0.12028013 1 272 694 +2160 6Ery 0.09996323 1 237 1974 +2161 10GMP 0.3171716 2 1477 896 +2162 12Baso 0.24629442 2 1416 2316 +2163 12Baso 0.33325067 2 1491 874 +2164 4Ery 0.48971823 1 591 862 +2165 2Ery 0.7636216 1 868 215 +2166 4Ery 0.21512702 1 342 1273 +2167 2Ery 0.7283576 1 822 1853 +2168 14Mo 0.63706326 2 2049 2386 +2169 3Ery 0.70776916 1 805 392 +2170 6Ery 0.16007033 1 298 2087 +2171 3Ery 0.91672903 1 1295 2595 +2172 10GMP 0.11713233 0 64 454 +2173 2Ery 0.73693043 1 830 514 +2174 14Mo 0.63719594 2 2052 954 +2175 16Neu 0.6987632 2 2549 2411 +2176 18Eos 0.46421897 2 1668 946 +2177 13Baso 0.60571575 2 1864 2641 +2178 6Ery 0.4413626 1 544 1986 +2179 14Mo 0.6663534 2 2322 2186 +2180 13Baso 0.6047043 2 1858 2138 +2181 2Ery 0.6322943 1 731 2589 +2182 2Ery 0.73714256 1 831 752 +2183 5Ery 0.22337405 1 347 160 +2184 10GMP 0.5424852 2 1744 1274 +2185 5Ery 0.58056796 1 671 987 +2186 14Mo 0.65004367 2 2179 2319 +2187 13Baso 0.38061342 2 1542 75 +2188 14Mo 0.5990634 2 1839 748 +2189 16Neu 0.67928094 2 2427 799 +2190 2Ery 0.7072574 1 803 889 +2191 10GMP 0.17182612 2 1361 635 +2192 4Ery 0.69983137 1 795 804 +2193 16Neu 0.74717647 2 2673 2578 +2194 6Ery 0.12228281 1 276 2682 +2195 15Mo 0.69697773 2 2539 735 +2196 14Mo 0.481579 2 1695 1431 +2197 12Baso 0.25398225 2 1421 1870 +2198 7MEP 0.1515282 2 1348 2358 +2199 10GMP 0.48150906 2 1694 1382 +2200 15Mo 0.6134794 2 1904 428 +2201 3Ery 0.9816575 1 1329 2233 +2202 15Mo 0.687787 2 2482 2061 +2203 3Ery 0.8949059 1 1260 426 +2204 9GMP 0.3697843 2 1529 1590 +2205 2Ery 0.86475164 1 1147 1972 +2206 7MEP 0.18592173 2 1373 2587 +2207 3Ery 0.7866803 1 908 912 +2208 13Baso 0.67510855 2 2396 1189 +2209 16Neu 0.72892773 2 2654 732 +2210 13Baso 0.62875456 2 1986 981 +2211 2Ery 0.91360193 1 1288 1806 +2212 15Mo 0.7016115 2 2564 557 +2213 7MEP 0.20696306 2 1391 554 +2214 6Ery 0.21564977 1 343 2290 +2215 5Ery 0.47826403 1 580 1962 +2216 13Baso 0.6415891 2 2102 949 +2217 10GMP 0.48348582 2 1700 736 +2218 9GMP 0.33444256 2 1494 1563 +2219 13Baso 0.61015546 2 1880 2541 +2220 13Baso 0.6414967 2 2100 2240 +2221 12Baso 0.23967613 0 80 773 +2222 5Ery 0.4127397 1 519 346 +2223 13Baso 0.53685087 2 1740 2655 +2224 15Mo 0.69292533 2 2515 2489 +2225 14Mo 0.68154234 2 2445 794 +2226 10GMP 0.4133284 2 1592 606 +2227 15Mo 0.69849974 2 2548 1469 +2228 4Ery 0.46375704 1 565 2723 +2229 5Ery 0.385249 1 492 246 +2230 8Mk 0.13920906 2 1344 1292 +2231 13Baso 0.6361022 2 2040 1649 +2232 7MEP 0.05403806 1 137 910 +2233 14Mo 0.6530433 2 2201 139 +2234 14Mo 0.5925539 2 1823 1078 +2235 2Ery 0.7323095 1 826 59 +2236 6Ery 0.4528237 1 555 82 +2237 2Ery 0.8432304 1 1059 918 +2238 13Baso 0.605687 2 1863 1571 +2239 7MEP 0.11755518 2 1332 1316 +2240 16Neu 0.6546519 2 2220 2261 +2241 14Mo 0.6770125 2 2408 2607 +2242 3Ery 0.4639031 1 566 1490 +2243 16Neu 0.6714399 2 2370 146 +2244 19Lymph 0.33609483 2 1496 2415 +2245 10GMP 0.3701854 2 1530 1641 +2246 12Baso 0.28477326 2 1445 96 +2247 10GMP 0.39766094 2 1566 2693 +2248 13Baso 0.6022758 2 1843 2308 +2249 1Ery 0.8371591 1 1040 2407 +2250 16Neu 0.70589364 2 2587 1740 +2251 6Ery 0.13127595 1 286 303 +2252 14Mo 0.64700466 2 2152 1403 +2253 2Ery 0.82499635 1 1007 1830 +2254 14Mo 0.63644993 2 2045 1439 +2255 10GMP 0.41342857 2 1593 402 +2256 14Mo 0.45166066 2 1650 2059 +2257 16Neu 0.68779993 2 2483 2010 +2258 9GMP 0.29806805 2 1453 1015 +2259 3Ery 0.28418076 1 413 24 +2260 3Ery 0.8900317 1 1239 444 +2261 14Mo 0.65727025 2 2240 324 +2262 2Ery 0.7756985 1 888 2504 +2263 12Baso 0.25738034 2 1423 1192 +2264 9GMP 0.3284291 2 1486 1283 +2265 1Ery 0.9269184 1 1308 1741 +2266 3Ery 0.5524589 1 647 744 +2267 5Ery 0.5385854 1 635 2018 +2268 2Ery 0.72299737 1 814 2710 +2269 8Mk 0.1450639 0 72 1947 +2270 2Ery 0.8123234 1 971 1057 +2271 16Neu 0.6861541 2 2472 184 +2272 5Ery 0.51646894 1 616 1805 +2273 10GMP 0.4011455 2 1572 930 +2274 13Baso 0.6467122 2 2149 2299 +2275 16Neu 0.6951681 2 2528 410 +2276 14Mo 0.682048 2 2449 1959 +2277 2Ery 0.7518913 1 855 1434 +2278 5Ery 0.4463402 1 548 360 +2279 15Mo 0.6665214 2 2324 488 +2280 7MEP 0.11089291 1 258 100 +2281 15Mo 0.6362843 2 2042 1849 +2282 5Ery 0.46050462 1 563 705 +2283 6Ery 0.17737627 1 316 1294 +2284 5Ery 0.3110654 1 440 2486 +2285 2Ery 0.82316566 1 1000 2717 +2286 3Ery 0.84055614 1 1052 928 +2287 15Mo 0.6252049 2 1962 502 +2288 7MEP 0.093994364 1 223 872 +2289 3Ery 0.8348598 1 1031 212 +2290 15Mo 0.6541831 2 2214 174 +2291 16Neu 0.72196656 2 2631 2322 +2292 6Ery 0.28103682 1 406 1594 +2293 7MEP 0.12403332 0 68 1499 +2294 6Ery 0.23398003 1 364 722 +2295 6Ery 0.26265463 1 395 1404 +2296 10GMP 0.35667357 2 1513 950 +2297 4Ery 0.74140203 1 841 193 +2298 13Baso 0.6412573 2 2097 1062 +2299 14Mo 0.659851 2 2274 1179 +2300 13Baso 0.62273943 2 1950 334 +2301 3Ery 0.83779365 1 1043 2668 +2302 6Ery 0.38192347 1 490 2494 +2303 8Mk 0.1587749 2 1352 1033 +2304 14Mo 0.6684768 2 2346 1319 +2305 2Ery 0.76399285 1 869 1510 +2306 9GMP 0.3644747 2 1519 379 +2307 6Ery 0.27283794 1 400 2666 +2308 15Mo 0.65796417 2 2248 1728 +2309 13Baso 0.5989121 2 1837 2597 +2310 3Ery 0.46712264 1 572 721 +2311 16Neu 0.705165 2 2582 2399 +2312 2Ery 0.87455803 1 1189 25 +2313 9GMP 0.40771082 2 1584 1912 +2314 14Mo 0.6209725 2 1941 313 +2315 3Ery 0.67137545 1 769 340 +2316 14Mo 0.64795446 2 2162 602 +2317 14Mo 0.6185241 2 1926 1102 +2318 16Neu 0.61268246 2 1900 2634 +2319 14Mo 0.6507614 2 2186 518 +2320 9GMP 0.42399663 2 1610 790 +2321 3Ery 0.70559496 1 801 435 +2322 13Baso 0.6621849 2 2291 2179 +2323 10GMP 0.09689186 0 42 572 +2324 14Mo 0.6395658 2 2077 2279 +2325 3Ery 0.22725825 1 354 789 +2326 6Ery 0.19913639 1 330 1401 +2327 14Mo 0.63130796 2 2003 1957 +2328 4Ery 0.6387464 1 738 916 +2329 3Ery 0.91441214 1 1291 1848 +2330 2Ery 0.78619975 1 905 760 +2331 2Ery 0.6162418 1 707 1560 +2332 14Mo 0.6132759 2 1903 74 +2333 2Ery 0.59782857 1 686 1352 +2334 8Mk 0.0716718 1 158 1359 +2335 10GMP 0.34835994 2 1504 945 +2336 10GMP 0.42562163 2 1612 2062 +2337 14Mo 0.58994395 2 1819 2143 +2338 10GMP 0.37443513 2 1535 1398 +2339 16Neu 0.5973936 2 1834 1632 +2340 10GMP 0.535815 2 1739 2342 +2341 10GMP 0.575714 2 1792 1146 +2342 13Baso 0.66768014 2 2340 471 +2343 16Neu 0.74733114 2 2674 1305 +2344 2Ery 0.48927283 1 590 290 +2345 16Neu 0.7068425 2 2589 2695 +2346 2Ery 0.7993624 1 937 2304 +2347 14Mo 0.64454055 2 2127 1399 +2348 11DC 0.77966017 3 2712 166 +2349 14Mo 0.67828345 2 2418 2119 +2350 11DC 0.8193215 3 2722 761 +2351 14Mo 0.5975821 2 1835 51 +2352 13Baso 0.62019694 2 1935 265 +2353 2Ery 0.8849061 1 1220 1432 +2354 2Ery 0.89835846 1 1266 1555 +2355 16Neu 0.69804776 2 2545 300 +2356 2Ery 0.70729023 1 804 1933 +2357 2Ery 0.813244 1 978 339 +2358 14Mo 0.65291417 2 2198 434 +2359 5Ery 0.4375554 1 540 1518 +2360 2Ery 0.49677417 1 600 135 +2361 7MEP 0.08250079 1 185 1569 +2362 9GMP 0.22949281 2 1403 1084 +2363 2Ery 0.79525113 1 923 2043 +2364 10GMP 0.38761884 2 1550 2125 +2365 7MEP 0.11530837 0 11 1993 +2366 6Ery 0.12890644 1 282 2716 +2367 15Mo 0.72396135 2 2640 1557 +2368 5Ery 0.4297445 1 531 753 +2369 5Ery 0.6404548 1 741 1320 +2370 15Mo 0.63315356 2 2017 2243 +2371 14Mo 0.55626947 2 1763 1479 +2372 8Mk 0.18666373 0 10 223 +2373 14Mo 0.6951088 2 2527 758 +2374 15Mo 0.71457255 2 2618 1748 +2375 4Ery 0.3136344 1 441 1266 +2376 14Mo 0.6806364 2 2439 1568 +2377 13Baso 0.46263322 2 1665 1483 +2378 6Ery 0.07720606 1 170 1744 +2379 4Ery 0.66574943 1 760 1948 +2380 13Baso 0.6798532 2 2433 716 +2381 4Ery 0.8288398 1 1018 2460 +2382 9GMP 0.34733096 2 1503 1411 +2383 3Ery 0.87371475 1 1185 192 +2384 8Mk 0.1628251 0 8 1860 +2385 8Mk 0.17507626 0 7 657 +2386 15Mo 0.64891386 2 2168 919 +2387 2Ery 0.85948324 1 1126 745 +2388 12Baso 0.28881237 2 1450 1308 +2389 3Ery 0.44663027 1 549 1658 +2390 15Mo 0.7544474 2 2681 832 +2391 15Mo 0.70832664 2 2594 1356 +2392 9GMP 0.3782199 2 1540 2697 +2393 3Ery 0.82500637 1 1008 1982 +2394 10GMP 0.4043604 2 1578 439 +2395 15Mo 0.70180154 2 2567 1006 +2396 16Neu 0.7094669 2 2599 2208 +2397 4Ery 0.41689843 1 522 1667 +2398 3Ery 0.34780616 1 463 1936 +2399 14Mo 0.6648095 2 2311 908 +2400 3Ery 0.56477123 1 653 1786 +2401 16Neu 0.747985 2 2675 1204 +2402 6Ery 0.2128088 1 340 2593 +2403 5Ery 0.5359135 1 634 487 +2404 13Baso 0.47670355 2 1688 2095 +2405 13Baso 0.63909686 2 2073 1927 +2406 11DC 0.80448216 3 2716 3 +2407 13Baso 0.6579749 2 2249 1690 +2408 8Mk 0.15944088 0 2 2241 +2409 2Ery 0.8732728 1 1181 767 +2410 13Baso 0.6392303 2 2074 1754 +2411 13Baso 0.6497706 2 2175 1618 +2412 8Mk 0.12146916 2 1334 2139 +2413 8Mk 0.15110475 0 18 865 +2414 15Mo 0.7290775 2 2655 227 +2415 14Mo 0.65769506 2 2244 1032 +2416 14Mo 0.59432644 2 1826 1696 +2417 19Lymph 0.4123435 0 19 1043 +2418 6Ery 0.0937595 1 221 2349 +2419 5Ery 0.2927591 1 423 1645 +2420 15Mo 0.61311096 2 1901 1861 +2421 7MEP 0.09230204 1 210 1807 +2422 15Mo 0.6275315 2 1973 1409 +2423 15Mo 0.7024908 2 2570 1746 +2424 6Ery 0.37272123 1 479 1445 +2425 12Baso 0.374947 2 1536 1240 +2426 2Ery 0.8678376 1 1157 2579 +2427 13Baso 0.61677027 2 1921 2189 +2428 3Ery 0.13405718 1 288 1127 +2429 4Ery 0.5838998 1 676 1917 +2430 14Mo 0.6049731 2 1860 1123 +2431 10GMP 0.40722016 2 1582 980 +2432 16Neu 0.7229327 2 2636 1052 +2433 15Mo 0.7028502 2 2572 2380 +2434 6Ery 0.088195406 1 200 589 +2435 13Baso 0.6099504 2 1878 181 +2436 19Lymph 0.48263437 0 21 214 +2437 15Mo 0.7132833 2 2612 1342 +2438 6Ery 0.16044432 1 299 2646 +2439 2Ery 0.8983329 1 1265 2376 +2440 15Mo 0.68199843 2 2448 163 +2441 3Ery 0.763347 1 867 1422 +2442 13Baso 0.3885291 2 1551 766 +2443 6Ery 0.109848134 1 256 1251 +2444 13Baso 0.62163365 2 1943 239 +2445 9GMP 0.36769238 2 1524 2225 +2446 10GMP 0.40150535 2 1573 1427 +2447 10GMP 0.49733847 2 1713 2013 +2448 14Mo 0.6195339 2 1928 2440 +2449 2Ery 0.8599925 1 1129 2276 +2450 6Ery 0.18230976 1 320 1470 +2451 10GMP 0.48743266 2 1702 2499 +2452 7MEP 0.1394679 0 37 217 +2453 6Ery 0.098027945 1 230 2070 +2454 14Mo 0.62580544 2 1968 1737 +2455 2Ery 0.8343916 1 1030 2590 +2456 2Ery 0.8930366 1 1248 1481 +2457 7MEP 0.1583388 0 34 960 +2458 5Ery 0.37846878 1 483 61 +2459 13Baso 0.5932444 2 1825 1531 +2460 13Baso 0.67264545 2 2381 749 +2461 14Mo 0.6289595 2 1989 268 +2462 3Ery 0.91584027 1 1294 2679 +2463 13Baso 0.6389582 2 2069 576 +2464 4Ery 0.5352128 1 632 2112 +2465 3Ery 0.79563874 1 925 877 +2466 2Ery 0.8893126 1 1235 2525 +2467 15Mo 0.64599633 2 2141 2031 +2468 7MEP 0.098038815 1 231 457 +2469 1Ery 0.9175697 1 1297 1336 +2470 15Mo 0.70232856 2 2569 1256 +2471 2Ery 0.8088573 1 962 656 +2472 13Baso 0.61581767 2 1914 2271 +2473 8Mk 0.16175224 2 1356 299 +2474 9GMP 0.39294595 2 1556 2057 +2475 19Lymph 0.401504 0 29 992 +2476 11DC 0.83260536 3 2729 2576 +2477 8Mk 0.15840083 2 1351 1016 +2478 17Neu 0.30917424 2 1468 1525 +2479 13Baso 0.56794083 2 1778 850 +2480 13Baso 0.5836316 2 1805 1575 +2481 13Baso 0.5553429 2 1758 1188 +2482 3Ery 0.74793005 1 849 2202 +2483 12Baso 0.08150453 1 182 2257 +2484 16Neu 0.7787617 2 2699 1278 +2485 10GMP 0.48257285 2 1698 2078 +2486 15Mo 0.66139513 2 2284 1721 +2487 7MEP 0.093530186 1 219 1301 +2488 13Baso 0.47382277 2 1683 1121 +2489 13Baso 0.6551932 2 2224 221 +2490 14Mo 0.70019925 2 2555 1831 +2491 16Neu 0.75426584 2 2680 1661 +2492 3Ery 0.618178 1 710 1966 +2493 7MEP 0.10903393 1 254 1929 +2494 13Baso 0.66365105 2 2302 811 +2495 13Baso 0.62224656 2 1947 1689 +2496 3Ery 0.83639663 1 1038 1684 +2497 1Ery 0.96489525 1 1325 1544 +2498 14Mo 0.6359203 2 2038 738 +2499 15Mo 0.68266135 2 2451 788 +2500 10GMP 0.5370043 2 1741 660 +2501 15Mo 0.69207484 2 2508 860 +2502 4Ery 0.5999748 1 687 1949 +2503 9GMP 0.28303713 2 1440 1038 +2504 14Mo 0.6587052 2 2262 1713 +2505 9GMP 0.46793306 2 1673 228 +2506 13Baso 0.4284357 2 1616 1610 +2507 10GMP 0.40072194 2 1571 1443 +2508 9GMP 0.36307558 2 1517 2501 +2509 5Ery 0.206745 1 335 1530 +2510 2Ery 0.85622334 1 1113 2660 +2511 7MEP 0.15218267 0 24 278 +2512 13Baso 0.63900906 2 2071 1477 +2513 6Ery 0.18187873 1 319 739 +2514 7MEP 0.086027704 1 197 1353 +2515 10GMP 0.40493324 2 1579 2224 +2516 7MEP 0.11370079 1 264 1879 +2517 10GMP 0.48908544 2 1705 1502 +2518 3Ery 0.603479 1 692 154 +2519 5Ery 0.6642799 1 758 1430 +2520 10GMP 0.2213473 2 1398 1682 +2521 6Ery 0.16384254 1 304 1298 +2522 19Lymph 0.42111105 0 63 343 +2523 8Mk 0.17561243 2 1368 2085 +2524 4Ery 0.6863057 1 785 2153 +2525 14Mo 0.68457437 2 2466 2058 +2526 16Neu 0.76318586 2 2687 1627 +2527 14Mo 0.6029595 2 1848 2373 +2528 10GMP 0.41606435 2 1597 2275 +2529 10GMP 0.3832248 2 1547 1898 +2530 13Baso 0.6399165 2 2083 2667 +2531 7MEP 0.06764174 1 149 1081 +2532 15Mo 0.7349211 2 2663 2044 +2533 10GMP 0.41968215 2 1603 774 +2534 15Mo 0.63357824 2 2019 468 +2535 15Mo 0.70095366 2 2560 1671 +2536 14Mo 0.57897764 2 1796 1027 +2537 5Ery 0.30924976 1 436 1344 +2538 13Baso 0.6363929 2 2044 510 +2539 9GMP 0.30604842 2 1461 2195 +2540 7MEP 0.12865993 0 85 1646 +2541 14Mo 0.65453565 2 2219 795 +2542 6Ery 0.24453323 1 373 1208 +2543 2Ery 0.875324 1 1194 1082 +2544 8Mk 0.14983484 0 131 765 +2545 7MEP 0.076306544 1 169 2355 +2546 5Ery 0.52226824 1 624 1073 +2547 7MEP 0.066203676 1 148 461 +2548 13Baso 0.64165103 2 2103 2227 +2549 7MEP 0.11259012 0 129 2175 +2550 5Ery 0.52167547 1 622 861 +2551 8Mk 0.13939515 0 128 1612 +2552 2Ery 0.78287274 1 900 1496 +2553 2Ery 0.87357134 1 1183 1540 +2554 4Ery 0.7719138 1 882 1769 +2555 14Mo 0.6372479 2 2053 2490 +2556 15Mo 0.72091544 2 2626 158 +2557 13Baso 0.6017395 2 1842 2584 +2558 3Ery 0.8647292 1 1146 1599 +2559 2Ery 0.79122263 1 916 550 +2560 5Ery 0.38041356 1 486 2535 +2561 13Baso 0.58490855 2 1812 117 +2562 3Ery 0.583769 1 675 1119 +2563 6Ery 0.07960463 1 175 1750 +2564 8Mk 0.13324028 0 89 2212 +2565 6Ery 0.09108617 1 206 480 +2566 15Mo 0.7761393 2 2698 1519 +2567 2Ery 0.70591587 1 802 2395 +2568 5Ery 0.40738502 1 510 485 +2569 6Ery 0.1705262 1 309 2470 +2570 9GMP 0.29190302 2 1451 2423 +2571 8Mk 0.16206147 2 1357 2621 +2572 15Mo 0.72827166 2 2652 2433 +2573 13Baso 0.6118404 2 1897 707 +2574 10GMP 0.3810285 2 1543 711 +2575 15Mo 0.7313654 2 2659 2144 +2576 15Mo 0.68629396 2 2476 152 +2577 2Ery 0.88597876 1 1223 2037 +2578 13Baso 0.65249115 2 2193 2067 +2579 14Mo 0.67910296 2 2426 2116 +2580 9GMP 0.18270402 2 1372 1468 +2581 2Ery 0.8709566 1 1172 894 +2582 3Ery 0.79323703 1 921 2311 +2583 17Neu 0.30743563 2 1465 2127 +2584 16Neu 0.70031714 2 2557 925 +2585 13Baso 0.61163205 2 1896 1617 +2586 6Ery 0.19725235 1 329 1613 +2587 13Baso 0.6533818 2 2206 2250 +2588 10GMP 0.40287164 2 1576 247 +2589 13Baso 0.6502484 2 2181 2345 +2590 13Baso 0.6834406 2 2455 2115 +2591 2Ery 0.688018 1 787 662 +2592 6Ery 0.12651962 0 99 1 +2593 15Mo 0.6755107 2 2402 161 +2594 14Mo 0.7261339 2 2648 2391 +2595 14Mo 0.64953417 2 2171 1913 +2596 13Baso 0.59475803 2 1828 1841 +2597 14Mo 0.6645899 2 2309 2656 +2598 6Ery 0.25804225 1 388 1512 +2599 13Baso 0.62906736 2 1990 2396 +2600 17Neu 0.24564813 2 1415 1816 +2601 2Ery 0.57878715 1 669 1237 +2602 6Ery 0.17745727 1 317 969 +2603 7MEP 0.10395351 1 244 1493 +2604 10GMP 0.41230786 2 1590 1799 +2605 10GMP 0.4576448 2 1657 1014 +2606 6Ery 0.28113517 1 408 659 +2607 15Mo 0.6573654 2 2241 586 +2608 15Mo 0.7311963 2 2658 2148 +2609 6Ery 0.08423186 1 192 1245 +2610 4Ery 0.48178568 1 584 1541 +2611 8Mk 0.1514135 0 106 1751 +2612 6Ery 0.0745854 1 164 2437 +2613 13Baso 0.5688611 2 1781 1863 +2614 13Baso 0.6075742 2 1870 205 +2615 5Ery 0.40751126 1 511 1591 +2616 10GMP 0.35635096 2 1512 2628 +2617 10GMP 0.06013551 1 141 2699 +2618 10GMP 0.4497829 2 1647 2374 +2619 2Ery 0.6560231 1 751 691 +2620 11DC 0.82389486 3 2725 815 +2621 16Neu 0.70278895 2 2571 1459 +2622 14Mo 0.6140961 2 1909 416 +2623 5Ery 0.35220554 1 468 2064 +2624 10GMP 0.4581429 2 1658 2702 +2625 6Ery 0.2331504 1 363 903 +2626 2Ery 0.8517103 1 1089 2556 +2627 10GMP 0.5886404 2 1816 990 +2628 15Mo 0.71380967 2 2616 103 +2629 16Neu 0.7658805 2 2690 129 +2630 6Ery 0.10605643 1 249 1421 +2631 19Lymph 0.49200097 0 116 2291 +2632 10GMP 0.4024464 2 1575 2701 +2633 15Mo 0.74645966 2 2672 245 +2634 13Baso 0.6655569 2 2318 914 +2635 5Ery 0.27344576 1 401 2698 +2636 7MEP 0.0952574 1 225 2432 +2637 4Ery 0.5201689 1 620 1844 +2638 7MEP 0.20242327 2 1386 1820 +2639 3Ery 0.34670848 1 462 1137 +2640 19Lymph 0.39383155 2 1558 2367 +2641 13Baso 0.64991057 2 2177 1010 +2642 13Baso 0.60973185 2 1877 1096 +2643 13Baso 0.5230509 2 1727 1375 +2644 3Ery 0.7968286 1 931 548 +2645 1Ery 0.90491605 1 1280 141 +2646 15Mo 0.680559 2 2438 2654 +2647 8Mk 0.19091079 2 1375 2041 +2648 7MEP 0.16938637 2 1358 2594 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Binary file test-data/tl.louvain.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.h5ad has changed
Binary file test-data/tl.paga.neighbors_gauss_braycurtis.recipe_weinreb17.paul15_subsample.h5ad has changed
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/tl.pca.variance_ratio.krumsiek11.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,10 @@ +6.436238884925842285e-01 +2.148767709732055664e-01 +7.596869766712188721e-02 +3.905308619141578674e-02 +1.849153265357017517e-02 +5.033073481172323227e-03 +1.776377670466899872e-03 +1.001837081275880337e-03 +1.316703710472211242e-04 +2.801087975967675447e-05
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/tl.score_genes.krumsiek11.obs.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,641 @@ +index cell_type score +0 progenitor +1 progenitor +2 progenitor +3 progenitor +4 progenitor +5 progenitor +6 progenitor +7 progenitor +8 progenitor +9 progenitor +10 progenitor +11 progenitor +12 progenitor +13 progenitor +14 progenitor +15 progenitor +16 progenitor +17 progenitor +18 progenitor +19 progenitor +20 progenitor +21 progenitor +22 progenitor +23 progenitor +24 progenitor +25 progenitor +26 progenitor +27 progenitor +28 progenitor +29 progenitor +30 progenitor +31 progenitor +32 progenitor +33 progenitor +34 progenitor +35 progenitor +36 progenitor +37 progenitor +38 progenitor +39 progenitor +40 progenitor +41 progenitor +42 progenitor +43 progenitor +44 progenitor +45 progenitor +46 progenitor +47 progenitor +48 progenitor +49 progenitor +50 progenitor +51 progenitor +52 progenitor +53 progenitor +54 progenitor +55 progenitor 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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/tl.score_genes_cell_cycle.krumsiek11.obs.tabular Mon Mar 04 10:14:25 2019 -0500 @@ -0,0 +1,641 @@ +index cell_type S_score G2M_score phase +0 progenitor 0.2681 0.20055 S +1 progenitor 0.24346666 0.15855001 S +2 progenitor 0.2276 0.13482499 S +3 progenitor 0.21043333 0.12637499 S +4 progenitor 0.19113334 0.1272 S +5 progenitor 0.17531666 0.13072497 S +6 progenitor 0.16073334 0.13242501 S +7 progenitor 0.15353334 0.13672501 S +8 progenitor 0.14314999 0.1399 S +9 progenitor 0.1337 0.14515 G2M +10 progenitor 0.12695001 0.15165001 G2M +11 progenitor 0.11726667 0.16077498 G2M +12 progenitor 0.11081667 0.16735 G2M +13 progenitor 0.104849994 0.17429999 G2M +14 progenitor 0.09816667 0.18152499 G2M +15 progenitor 0.095350005 0.186625 G2M +16 progenitor 0.09528333 0.19447501 G2M +17 progenitor 0.09463333 0.199675 G2M +18 progenitor 0.0947 0.205275 G2M +19 progenitor 0.0947 0.20802501 G2M +20 progenitor 0.097733326 0.21100001 G2M +21 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