<tool id="pancancer_alternative_genes_pathwaymapper" name="PAPAA: PanCancer alternative genes pathwaymapper" version="@VERSION@">
    <description>alternative genes pathwaymapper</description>
    <macros>
        <import>macros.xml</import>
    </macros>
    <expand macro="requirements"/>
    <expand macro="stdio"/>
    <version_command><![CDATA['papaa_alternative_genes_pathwaymapper.py' --version]]></version_command>
    <command><![CDATA[
        mkdir 'classifier' &&
        ln -s '${classifier_decisions}' 'classifier/classifier_decisions.tsv' && 
        papaa_alternative_genes_pathwaymapper.py
        --classifier_decisions 'classifier'
        #if $genes and str($genes):
        --genes '$genes'
        #end if
        #if $path_genes and str($path_genes):
        --path_genes '$path_genes'
        #end if
        #if $filename_mut and $filename_mut is not None:
        --filename_mut '$filename_mut'
        #end if
        #if $filename_sample and $filename_sample is not None:
        --filename_sample '$filename_sample'
        #end if
        @INPUTS_COPY_NUMBER_FILE_CONDITIONAL@
        > '${log}'
        ]]>
    </command>
    <inputs>
        <param argument="--classifier_decisions" label="pancancer decisions" name="classifier_decisions" optional="false" type="data" format="tabular" help="classifier_decisions.tsv"/>
        <param argument="--genes" label="Comma separated string of HUGO gene symbols" name="genes" optional="False" type="text" value="ERBB2,PIK3CA,KRAS,AKT1"/>
        <param argument="--path_genes" label="string of the genes to extract or genelist file" name="path_genes" optional="true" type= "data" format="txt"/>
        <param argument="--filename_mut" label="Filename mutations" name="filename_mut" optional="true" type="data" format="tabular" help="data/pancan_mutation_freeze.tsv"/>
        <param argument="--filename_sample" label="Filename of sample" name="filename_sample" optional="true" type="data" format="tabular" help="data/sample_freeze.tsv"/>
        <expand macro="inputs_copy_number_file_conditional" />
    </inputs>
    <outputs>
        <data format="txt" name="log" label="${tool.name} on ${on_string} (Log)"/>
        <data format="txt" name="pathway_metrics_pathwaymapper" label="${tool.name} on ${on_string} (pathway_metrics_pathwaymapper.txt)" from_work_dir="classifier/tables/pathway_metrics_pathwaymapper.txt"/>
        <data format="tabular" name="all_gene_metric_ranks" label="${tool.name} on ${on_string} (all_gene_metric_ranks.tsv)" from_work_dir="classifier/tables/all_gene_metric_ranks.tsv"/>
    </outputs>
    <tests>
        <test>
          <param name="classifier_decisions" value="classifier_decisions.tsv" ftype="tabular"/>
          <param name="genes" value="ERBB2,PIK3CA,KRAS,AKT1"/>
          <param name="path_genes" value="path_genes.txt" ftype="txt"/>
          <param name="filename_mut" value="pancan_mutation_freeze_t1p.tsv.gz" ftype="tabular"/>
          <param name="filename_sample" value="sample_freeze.tsv" ftype="tabular"/>
          <param name="copy_number" value="yes"/>
          <param name="filename_copy_loss" value="copy_number_loss_status_t10p.tsv.gz" ftype="tabular"/>
          <param name="filename_copy_gain" value="copy_number_gain_status_t10p.tsv.gz" ftype="tabular"/>
          <param name="filename_raw_mut" value="mc3.v0.2.8.PUBLIC_t1p.maf.gz" ftype="tabular"/>
          <output name="log" file="alternative_genes_pathwaymapper_Log.txt"/>
          <output name="pathway_metrics_pathwaymapper" file="pathway_metrics_pathwaymapper.txt" />
          <output name="all_gene_metric_ranks" file="all_gene_metric_ranks.tsv" />
        </test>
    </tests>
    <help><![CDATA[

      **Pancancer_Aberrant_Pathway_Activity_Analysis scripts/papaa_alternative_genes_pathwaymapper.py:**

        **Inputs:**
          --gene  Comma separated string of HUGO symbols for target genes or targenes_list.csv file
          --path_genes  Comma separated string of HUGO symbols for all genes in the target pathway or path_genes.txt file
          --classifier_decisions  String of the location of classifier decisions with predictions or scores
          --filename_mut  Filename of sample/gene mutations to use in model
          --filename_mut_burden   Filename of sample mutation burden to use in model
          --filename_sample   Filename of patient/samples to use in model
          --filename_copy_loss  Filename of copy number loss
          --filename_copy_gain  Filename of copy number gain

        **Outputs:**
          Calculate and display metrics for targene classification  

          Calculate and display pathway metrics ("pathway_metrics_pathwaymapper.txt")  

          Visualize Distribution of AUROC and AUPRC for all genes and Get Metrics for All Genes ("all_gene_metric_ranks.tsv)  ]]>
      </help>
      <expand macro="citations" />
</tool>