Volcano plot for differential abundance testing — plot

Statistical testing results for 'omics' differential abundance are frequently displayed in a 'volcano' plot, where x = log fold-change and y = -log10(p-value). This function generates a volcano plot from a data.frame containing the statistical testing results

Usage

plot_volcano(
  obj,
  lf_col = "logFC",
  p_col = "adj.P.Val",
  sig_col = NULL,
  title = NULL,
  xlab = "log2 Fold Change"
)

Arguments

obj: data.frame. Statistical testing results
lf_col: string. Column for log fold-change
p_col: string. Column for p-value
sig_col: string. Column for significance annotation (optional)
title: string. Plot title
xlab: string. Label for x axis

Value

Returns a ggplot object.