plot_cutoff_single {RVA}

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

Description

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

Usage

plot_cutoff_single(datin, FCflag, FDRflag, FCs, pvalues)

Arguments

datin

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

FCflag

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

FDRflag

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

FCs

A set of fold change cutoff to be checked.

pvalues

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