Plot log2 fold changes against -log10 multiple testing adjusted P values
Usage
VulcanoPlot(
data,
analysis = Analyses(data)[1],
p.cutoff = 0.05,
lfc.cutoff = 1,
annotate.numbers = TRUE,
...
)Arguments
- data
the grandR object that contains the data to be plotted
- analysis
the analysis to plot (default: first analysis)
- p.cutoff
p-value cutoff (default: 0.05)
- lfc.cutoff
log fold change cutoff (default: 1)
- annotate.numbers
if TRUE, label the number of genes
- ...
further parameters passed to PlotScatter