Mercurial > repos > ebi-gxa > scanpy_integrate_mnn
diff scanpy-integrate-mnn.xml @ 0:873449082a29 draft
"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/tree/develop/tools/tertiary-analysis/scanpy commit 62f47287c7e8449c59a1f1f454852ddc669b1b1e-dirty"
author | ebi-gxa |
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date | Mon, 07 Sep 2020 13:10:40 +0000 |
parents | |
children | 7ae183da3f07 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/scanpy-integrate-mnn.xml Mon Sep 07 13:10:40 2020 +0000 @@ -0,0 +1,120 @@ +<?xml version="1.0" encoding="utf-8"?> +<tool id="scanpy_integrate_mnn" name="Scanpy MNN" version="@TOOL_VERSION@+galaxy0" profile="@PROFILE@"> + <description>correct batch effects by matching mutual nearest neighbors</description> + <macros> + <import>scanpy_macros2.xml</import> + </macros> + <expand macro="requirements"/> + <command detect_errors="exit_code"><![CDATA[ +#if $batch_key + ln -s '${input_obj_file}' input.h5 && + PYTHONIOENCODING=utf-8 scanpy-integrate mnn + --batch-key '${batch_key}' + #if $batch_layer + --batch-layer '${batch_layer}' + #end if + #if $key_added + --key-added '${key_added}' + #end if + #if $var_subset + #set var_subsets = ' '.join(["--var-subset '{name}' '{values}'".format(**$v) for $v in $var_subset]) + ${var_subsets} + #if $settings.default == "false" + #if $settings.n_neighbors + --n-neighbors '${settings.n_neighbors}' + #end if + #if $settings.sigma + --sigma '${settings.sigma}' + #end if + #if not $settings.cos_norm_in + ${settings.cos_norm_in} + #end if + #if $settings.svd_dim + --svd-dim '${settings.svd_dim}' + #end if + #if not $settings.var_adj + ${settings.var_adj} + #end if + #if $settings.compute_angle + ${settings.compute_angle} + #end if + #if $settings.svd_mode + --svd-mode '${settings.svd_mode}' + #end if + #end if +#end if + @INPUT_OPTS@ + @OUTPUT_OPTS@ +#else + echo "No batch variables passed, simply passing original input as output unchanged."; + cp '${input_obj_file}' '${output_h5}' +#end if +]]></command> + + <inputs> + <expand macro="input_object_params"/> + <expand macro="output_object_params"/> + <param name="batch_key" type="text" argument="--batch-key" label="The name of the column in adata.obs that differentiates among experiments/batches."> + <sanitizer> + <valid initial="string.printable"/> + </sanitizer> + </param> + <param name="batch_layer" type="text" argument="--batch-layer" label="Layer to batch correct. By default corrects the contents of .X."> + <sanitizer> + <valid initial="string.printable"/> + </sanitizer> + </param> + <param name="key_added" argument="--key-added" type="text" optional="true" label="Key under which to add the computed results." help="By default a new layer will be created called 'mnn', 'mnn_{layer}' or 'mnn_{layer}_{key_added}' where those parameters were specified. A value of 'X' causes batch-corrected values to overwrite the original content of .X."/> + <repeat name="var_subset" title="The subset of vars (list of str) to be used when performing MNN correction" min="0"> + <param name="name" type="text" value="" label="Name of the categorical variable to filter on" help="e.g. 'highly_variable'"/> + <param name="values" type="text" value="" label="Category or comma-separated list of categories" help="e.g. 'True'"/> + </repeat> + <conditional name="settings"> + <param name="default" type="boolean" checked="true" label="Use programme defaults"/> + <when value="true"/> + <when value="false"> + <param name="n_neighbors" argument="--n-neighbors" type="integer" value="20" label="Number of mutual nearest neighbors."/> + <param name="sigma" argument="--sigma" type="float" value="1.0" label="Sigma" help="The bandwidth of the Gaussian smoothing kernel used to compute the correction vectors." /> + <param name="cos_norm_in" argument="--no-cos-norm-in" type="boolean" truevalue="" falsevalue="--no-cos-norm-in" checked="True" + label="Perform cosine normalization prior to computing corrected expression values?" /> + <param name="svd_dim" argument="--svd-dim" type="integer" optional="true" label="Number of dimensions to use for summarizing biological substructure within each batch." help="If not set, biological components will not be removed from the correction vectors."/> + <param name="var_adj" argument="--no-var-adj" type="boolean" truevalue="" falsevalue="--no-var-adj" checked="True" + label="Adjust variance of the correction vectors?" help="Note this step takes most computing time." /> + <param name="compute_angle" argument="--compute-angle" type="boolean" truevalue="--compute-angle" falsevalue="" checked="False" + label="Compute the angle between each cell’s correction vector and the biological subspace of the reference batch?" /> + <param name="svd_mode" argument="--svd-mode" type="select" label="SVD mode" help="'svd' computes SVD using a non-randomized SVD-via-ID algorithm, while 'rsvd' uses a randomized version. 'irlb' performs truncated SVD by implicitly restarted Lanczos bidiagonalization (forked from https://github.com/airysen/irlbpy)." > + <option value="rsvd" selected="true">rsvd</option> + <option value="svd">svd</option> + <option value="irlb">irlb</option> + </param> + </when> + </conditional> + </inputs> + + <outputs> + <expand macro="output_data_obj" description="Batch-corrected for ${batch_key}"/> + </outputs> + + <tests> + <test> + <param name="input_obj_file" value="find_cluster.h5"/> + <param name="input_format" value="anndata"/> + <param name="output_format" value="anndata"/> + <param name="batch_key" value="louvain"/> + <output name="output_h5" file="mnn.h5" ftype="h5" compare="sim_size"/> + </test> + </tests> + + <help><![CDATA[ + .. class:: infomark + + **What it does** + + Corrects for batch effects by fitting linear models, gains statistical power via an EB framework where information is borrowed across genes. + + @HELP@ + + @VERSION_HISTORY@ +]]></help> + <expand macro="citations"/> +</tool>