Mercurial > repos > ebi-gxa > scpred_get_feature_space
view scpred_get_feature_space.xml @ 0:db7ecc1aaf59 draft
"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit 6ea13bbd7294b94201a5d776307b3f0742847db1"
author | ebi-gxa |
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date | Wed, 08 Apr 2020 06:38:03 -0400 |
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children | 4a77d2091aec |
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<tool id='scpred_get_feature_space' name='ScPred feature space' version='@TOOL_VERSION@+galaxy0' profile="@PROFILE@"> <description>Get feature space for training matrix</description> <macros> <import>scpred_macros.xml</import> </macros> <expand macro='requirements' /> <command detect_errors='exit_code'><![CDATA[ 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> <inputs> <param type='data' name='input_object' label='Input SCE object' format='rdata' help='Input SCE object in .rds format' /> <param type='text' name='prediction_column' label='Prediction column' help='Name of the metadata column that contains training labels' /> <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' /> </inputs> <outputs> <data name='output_obj_path' format='rdata' /> <data name='eigenvalue_plot_path' format='png' /> </outputs> <tests> <test> <param name="input_object" value="scPred_object.rds" /> <param name="prediction_column" value="cell_type2" /> <output name="output_obj_path" file="scPred_feat_space.rds" compare="sim_size" /> </test> </tests> <help><![CDATA[ @HELP@ @VERSION_HISTORY@ ]]></help> <expand macro='citations' /> </tool>