abundance_differential_filter

Channel with abundance data and metadata
Structure: [ val(meta_exp), path(counts) ]
meta keys: method, args_diff

Channel with transcript length information
Structure: [ val(meta_exp), path(transcript_lengths) ]

Channel with control features information
Structure: [ val(meta_exp), path(control_features) ]

Channel with sample information
Structure: [ val(meta_exp), path(samplesheet) ]

Channel with contrast information
Structure: [ val(meta_contrast), val(contrast_variable), val(reference), val(target) ]

Method to use for differential analysis. Options: ‘limma’, ‘deseq2’

Fold change threshold for filtering differential results

Adjusted p-value threshold for filtering differential results