Mercurial > repos > ebi-gxa > scmap_index_cell
diff scmap_index_cell.xml @ 3:5593b0744de9 draft
"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit 241c850301f8094f6aa0016e2335a8b550c29aed"
author | ebi-gxa |
---|---|
date | Fri, 24 Apr 2020 11:25:51 -0400 |
parents | dd2a84734b87 |
children | faa50757208d |
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--- a/scmap_index_cell.xml Fri Apr 03 06:36:06 2020 -0400 +++ b/scmap_index_cell.xml Fri Apr 24 11:25:51 2020 -0400 @@ -5,12 +5,17 @@ </macros> <expand macro="requirements" /> <command detect_errors="exit_code"><![CDATA[ - scmap-preprocess-sce.R --input-object "${input_single_cell_experiment}" --output-sce-object "${input_single_cell_experiment}.preprocessed" && scmap-index-cell.R --input-object-file "${input_single_cell_experiment}.preprocessed" --number-chunks '$n_chunks' --number-clusters '$n_clusters' --output-object-file '$output_single_cell_experiment' --random-seed '$random_seed' + scmap-preprocess-sce.R --input-object "${input_single_cell_experiment}" --output-sce-object sce_object_preprocessed.rds && + scmap-index-cell.R --input-object-file sce_object_preprocessed.rds --number-chunks '$n_chunks' --number-clusters '$n_clusters' --output-object-file '$output_single_cell_experiment' --random-seed '$random_seed' + #if $train_id + --train-id '${train_id}' + #end if ]]></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" value='' help="Number of chunks into which the expr matrix is split" /> <param name="n_clusters" type="integer" label="Number of clusters" value='' 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> <outputs>