plot_cutoff_single

Summary statistics table from limma or DEseq2, where each row is a gene.

datin

The column name of the log2FC in the summary statistics table.

FCflag

The column name of the False Discovery Rate (FDR) in the summary statistics table.

FDRflag

A set of fold change cutoff to be checked.

A set of p-values for FDR cutoff to be checked.

pvalues

This function processes summary statistics table generated by differential expression analysis
like <code>limma</code> or <code>DESeq2</code> and produces a table which contains gene counts
for each of the pvalue and FC combination

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.

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

Description

Usage

Arguments