make.cutoff.plotly

<p>Summary statistics table from limma or DEseq2, where each row is a gene.</p>

<p>This function processes summary statistics table generated by differential expression analysis
like <code>limma</code> or <code>DESeq2</code> to produce an interactibe visual object
which depicts the number of differntially expressed genes with different FDR and
fold change cutoff.</p>

Automate downstream visualization & pathway analysis in RNAseq analysis. 'RVA' is a collection of functions that efficiently visualize RNAseq differential expression analysis result from summary statistics tables. It also utilize the Fisher's exact test to evaluate gene set or pathway enrichment in a convenient and efficient manner.

make.cutoff.plotly: Create plotly object for number of DE genes at different cutoff combinations

Description

Usage

Arguments