MA-plot from base means and log fold changes, in the ggplot2 framework, with additional support to annotate genes if provided.
Usage
plot_ma(
res_de,
FDR = 0.05,
point_alpha = 0.2,
sig_color = "red",
annotation_obj = NULL,
draw_y0 = TRUE,
hlines = NULL,
title = NULL,
xlab = "mean of normalized counts - log10 scale",
ylim = NULL,
add_rug = TRUE,
intgenes = NULL,
intgenes_color = "steelblue",
labels_intgenes = TRUE,
labels_repel = TRUE
)
Arguments
- res_de
An object containing the results of the Differential Expression analysis workflow (e.g.
DESeq2
,edgeR
orlimma
). Currently, this can be aDESeqResults
object created using theDESeq2
framework.- FDR
Numeric value, the significance level for thresholding adjusted p-values
- point_alpha
Alpha transparency value for the points (0 = transparent, 1 = opaque)
- sig_color
Color to use to mark differentially expressed genes. Defaults to red
- annotation_obj
A
data.frame
object, with row.names as gene identifiers (e.g. ENSEMBL ids) and a column,gene_name
, containing e.g. HGNC-based gene symbols. Optional- draw_y0
Logical, whether to draw the horizontal line at y=0. Defaults to TRUE.
- hlines
The y coordinate (in absolute value) where to draw horizontal lines, optional
- title
A title for the plot, optional
- xlab
X axis label, defaults to "mean of normalized counts - log10 scale"
- ylim
Vector of two numeric values, Y axis limits to restrict the view
- add_rug
Logical, whether to add rug plots in the margins
- intgenes
Vector of genes of interest. Gene symbols if a
symbol
column is provided inres_de
, or else the identifiers specified in the row names- intgenes_color
The color to use to mark the genes on the main plot.
- labels_intgenes
Logical, whether to add the gene identifiers/names close to the marked plots
- labels_repel
Logical, whether to use
ggrepel::geom_text_repel
for placing the labels on the features to mark