Mercurial > repos > ebi-gxa > scmap_index_cell
changeset 9:0f5e46b0981a draft
"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit db21c1973b6c308f967326463121918f25bdea00"
| author | ebi-gxa |
|---|---|
| date | Mon, 27 Jul 2020 06:10:30 -0400 |
| parents | 441df83ffc7c |
| children | 7c3f9606ed0a |
| files | scmap_index_cell.xml |
| diffstat | 1 files changed, 3 insertions(+), 3 deletions(-) [+] |
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--- a/scmap_index_cell.xml Wed Jul 15 09:24:15 2020 -0400 +++ b/scmap_index_cell.xml Mon Jul 27 06:10:30 2020 -0400 @@ -1,4 +1,4 @@ -<tool id="scmap_index_cell" name="Scmap index cells" version="@TOOL_VERSION@+galaxy3" profile="@PROFILE@"> +<tool id="scmap_index_cell" name="Scmap index cells" version="@TOOL_VERSION@+galaxy4" profile="@PROFILE@"> <description>creates a cell index for a dataset to enable fast approximate nearest neighbour search</description> <macros> <import>scmap_macros.xml</import> @@ -20,8 +20,8 @@ ]]></command> <inputs> <param type="data" name="input_single_cell_experiment" label="SingleCellExperiment object" format="rdata" help="File with serialized SingleCellExperiment object as produced by 'scmap select features'" /> - <param name="n_chunks" type="integer" label="Number of chunks" optional="true" help="Number of chunks into which the expr matrix is split" /> - <param name="n_clusters" type="integer" label="Number of clusters" optional="true" help="Number of clusters per group for k-means clustering" /> + <param name="n_chunks" type="integer" label="Number of chunks" optional="true" value="0" help="Number of chunks into which the expr matrix is split" /> + <param name="n_clusters" type="integer" label="Number of clusters" optional="true" value="0" help="Number of clusters per group for k-means clustering" /> <param type="text" name="train_id" label="Dataset ID" help="ID of the training dataset" /> <param name="random_seed" type="integer" label="Random seed" value='1' help="scmap-cell contains k-means step which makes it stochastic, i.e. running it multiple times will provide slightly different results. A fixed random seed ensures reproducibility." /> </inputs>