comparison scmap_index_cell.xml @ 11:dd0b44bd359a draft

"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit a1ad1ddd9b8e4db5bb82c3accae8311e0e488b19"

10:7c3f9606ed0a

        <import>scmap_macros.xml</import>
    </macros>
    <expand macro="requirements" />
    <command detect_errors="exit_code"><![CDATA[
        scmap-preprocess-sce.R --input-object "${input_single_cell_experiment}" --output-sce-object sce_object_preprocessed.rds &&
        scmap-index-cell.R --input-object-file sce_object_preprocessed.rds --output-object-file '$output_single_cell_experiment' --random-seed '$random_seed'
        #if $train_id
        --train-id '${train_id}' 
        #end if
        #if $n_chunks
        --number-chunks '$n_chunks'

    <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" 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>
    <outputs>
        <data name="output_single_cell_experiment" format="rdata" />
    </outputs>
    <tests>
        <test>
            <param name="input_single_cell_experiment" value="select_features.rds" ftype="rdata"/>
            <output name="output_single_cell_experiment" file="index_cell.rds" compare="sim_size"/>
        </test>
    </tests>
    <help><![CDATA[
    @HELP@
    

11:dd0b44bd359a

        <import>scmap_macros.xml</import>
    </macros>
    <expand macro="requirements" />
    <command detect_errors="exit_code"><![CDATA[
        scmap-preprocess-sce.R --input-object "${input_single_cell_experiment}" --output-sce-object sce_object_preprocessed.rds &&
        scmap-index-cell.R --input-object-file sce_object_preprocessed.rds --output-object-file '$output_single_cell_experiment' --random-seed '$random_seed' --remove-mat '${remove_mat}'
        #if $train_id
        --train-id '${train_id}' 
        #end if
        #if $n_chunks
        --number-chunks '$n_chunks'

    <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" 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 type="boolean" name="remove_mat" checked="false" label="Remove Matrix" help="Should the expression data be removed after classifier is trained?" />
        <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>
        <data name="output_single_cell_experiment" format="rdata" />
    </outputs>
    <tests>
        <test>
            <param name="input_single_cell_experiment" value="select_features.rds" ftype="rdata"/>
            <param name="remove_mat" value="true" />
            <output name="output_single_cell_experiment" file="index_cell.rds" compare="sim_size" delta="10000000"/>
        </test>
    </tests>
    <help><![CDATA[
    @HELP@