Plot average expression vs. log2 fold changes
MAPlot(
data,
analysis = Analyses(data)[1],
aest = aes(),
p.cutoff = 0.05,
lfc.cutoff = 1,
label.numbers = TRUE,
highlight = NULL,
label = NULL,
label.repel = 1
)
a ggplot object
the grandR object that contains the data to be plotted
the analysis to plot (default: first analysis)
parameter to set visual attributes of the plot
p-value cutoff (default: 0.05)
log fold change cutoff (default: 1)
if TRUE, label the number of genes
highlight these genes; can be either numeric indices, gene names, gene symbols or a logical vector (see details)
label these genes; can be either numeric indices, gene names, gene symbols or a logical vector (see details)
force to repel labels from points and each other (increase if labels overlap)