Mercurial > repos > ebi-gxa > sc3_kmeans
diff sc3-kmeans.xml @ 0:b3c3cf813a49 draft default tip
planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit 9bf9a6e46a330890be932f60d1d996dd166426c4
author | ebi-gxa |
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date | Wed, 03 Apr 2019 11:27:08 -0400 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/sc3-kmeans.xml Wed Apr 03 11:27:08 2019 -0400 @@ -0,0 +1,63 @@ +<?xml version="1.0" encoding="utf-8"?> +<tool id="sc3_kmeans" name="SC3 K-Means" version="@TOOL_VERSION@+galaxy0"> + <description>perform k-means clustering</description> + <macros> + <import>sc3-macros.xml</import> + </macros> + <expand macro="requirements" /> + <command detect_errors="exit_code"><![CDATA[ +sc3-sc3-kmeans.R -i '${sc3_transformed}' +#if $choose.method == "file": + -k '${choose.sc3_estimated_k}' +#else + -k '${choose.input_k}' +#end if + -o '${sc3_kmeans}' +]]></command> + + <inputs> + <param name="sc3_transformed" type="data" format="rdata" label="Serialised sc3 SingleCellExperiment object with transformed distances"/> + + <conditional name="choose"> + <param name="method" type="select" label="Method to supply K"> + <option value="input">Enter K as an integer</option> + <option value="file">Provide a text file containing K</option> + </param> + <when value="input"> + <param name="input_k" type="integer" value="0" label="Integer K as the number of clusters for kmeans"/> + </when> + <when value="file"> + <param name="sc3_estimated_k" type="data" format="txt" label="Text file containing estimated K"/> + </when> + </conditional> + </inputs> + + <outputs> + <data name="sc3_kmeans" format="rdata" label="${tool.name} on ${on_string}: serialised sc3 SingleCellExperiment object storing the k-means clusters"/> + </outputs> + + <tests> + <test> + <param name="sc3_transformed" value="sc3_transformed.rds"/> + <param name="sc3_estimated_k" value="K_size"/> + <output name="sc3_kmeans" file="sc3_kmeans.rds"/> + </test> + </tests> + + <help><![CDATA[ +========================================= +This function performs kmeans clustering. +========================================= + +It uses transformed distance matrix contained in the transformations item of the +sc3 slot of the metadata(object). It then creates and populates the following +items of the sc3 slot: + +- kmeans: contains a list of kmeans clusterings. + +@HELP@ + +@VERSION_HISTORY@ +]]></help> + <expand macro="citations" /> +</tool>