Mercurial > repos > ebi-gxa > scpred_get_feature_space

comparison scpred_get_feature_space.xml @ 1:4a77d2091aec draft

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"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 11:28:26 -0400
parents db7ecc1aaf59
children 2fa2f084ad32
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0:db7ecc1aaf59 1:4a77d2091aec
3 <macros> 3 <macros>
4 <import>scpred_macros.xml</import> 4 <import>scpred_macros.xml</import>
5 </macros> 5 </macros>
6 <expand macro='requirements' /> 6 <expand macro='requirements' />
7 <command detect_errors='exit_code'><![CDATA[ 7 <command detect_errors='exit_code'><![CDATA[
8 scpred_get_feature_space.R --input-object '${input_object}' --prediction-column '${prediction_column}' --explained-var-limit '${explained_var_limit}' --output-path '${output_obj_path}' --eigenvalue-plot-path '${eigenvalue_plot_path}']]></command> 8 scpred_get_feature_space.R --input-object '${input_object}' --prediction-column '${prediction_column}' --output-path '${output_obj_path}'
9
10 #if $explained_var_limit
11 --explained-var-limit '${explained_var_limit}'
12 #end if
13 #if $eigenvalue_plot_path
14 --eigenvalue-plot-path '${eigenvalue_plot_path}'
15 #end if
16 ]]></command>
9 <inputs> 17 <inputs>
10 <param type='data' name='input_object' label='Input SCE object' format='rdata' help='Input SCE object in .rds format' /> 18 <param type='data' name='input_object' label='Input SCE object' format='rdata' help='Input SCE object in .rds format' />
11 <param type='text' name='prediction_column' label='Prediction column' help='Name of the metadata column that contains training labels' /> 19 <param type='text' name='prediction_column' label='Prediction column' help='Name of the metadata column that contains training labels' />
12 <param type='float' name='explained_var_limit' label='Limit of explained variance' value="0.01" help='Threshold to filter principal components based on variance explained' /> 20 <param type='float' name='explained_var_limit' label='Limit of explained variance' value="0.01" help='Threshold to filter principal components based on variance explained' />
13 </inputs> 21 </inputs>