plot_ma | R Documentation |
MA-plot from base means and log fold changes, in the ggplot2 framework, with additional support to annotate genes if provided.
plot_ma(
res_obj,
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
)
res_obj |
A |
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 |
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 |
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 |
The genes of interest are to be provided as gene symbols if a symbol
column is provided in res_obj
, or else by using the identifiers specified
in the row names
An object created by ggplot
library("airway")
data("airway", package = "airway")
airway
dds_airway <- DESeq2::DESeqDataSetFromMatrix(assay(airway),
colData = colData(airway),
design = ~ cell + dex
)
# subsetting for quicker run, ignore the next two commands if regularly using the function
gene_subset <- c(
"ENSG00000103196", # CRISPLD2
"ENSG00000120129", # DUSP1
"ENSG00000163884", # KLF15
"ENSG00000179094", # PER1
rownames(dds_airway)[rep(c(rep(FALSE, 99), TRUE), length.out = nrow(dds_airway))]
) # 1% of ids
dds_airway <- dds_airway[gene_subset, ]
dds_airway <- DESeq2::DESeq(dds_airway)
res_airway <- DESeq2::results(dds_airway)
plot_ma(res_airway, FDR = 0.05, hlines = 1)
plot_ma(res_airway,
FDR = 0.1,
intgenes = c(
"ENSG00000103196", # CRISPLD2
"ENSG00000120129", # DUSP1
"ENSG00000163884", # KLF15
"ENSG00000179094" # PER1
)
)
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