empirical_analysis_dge

-d, --destination <ClcServerObjectUrl> Destination file or folder on server. If not specified the folder of the first input object will be used.
--edge-bonferroni-corrected <Boolean> Add Bonferroni corrected p-values to analysis. In case of one sample, test statistics and p-values are undefined. (default: false)
--edge-comparisons  
<[ALLPAIRS,AGAINSTREFERENCE]> Select groups to be compared (default: ALLPAIRS)
--edge-comparisons-reference <String> The comparison will be carried out against this reference (group name)
--edge-fdr-corrected <Boolean> Add FDR corrected p-values to analysis. In case of one sample, test statistics and p-values are undefined. (default: false)
--edge-tagwise-estimation <Boolean> If checked, tagwise dispersions will also be estimated, as well as the common dispersion parameter (default: true)
--edge-total-count-filter <Double> Only tags with total sum of counts above this value are used in the estimation of the common dispersion. (default: 5.0)
-i, --input <ClcObjectUrl> Input data on server
--log <Boolean> Enable creation of algo log file. (default: true)