diff_express | R Documentation |
Differential gene expression analysis results obtained from comparing the RNAseq data of two different cell populations using DESeq2
data("diff_express")
A data frame with 36028 rows and 5 columns.
name
gene names
baseMean
mean expression signal across all samples
log2FoldChange
log2 fold change
padj
Adjusted p-value
detection_call
a numeric vector specifying whether the genes is expressed (value = 1) or not (value = 0).
data(diff_express) # Default plot ggmaplot(diff_express, main = expression("Group 1" %->% "Group 2"), fdr = 0.05, fc = 2, size = 0.4, palette = c("#B31B21", "#1465AC", "darkgray"), genenames = as.vector(diff_express$name), legend = "top", top = 20, font.label = c("bold", 11), font.legend = "bold", font.main = "bold", ggtheme = ggplot2::theme_minimal()) # Add rectangle around labesl ggmaplot(diff_express, main = expression("Group 1" %->% "Group 2"), fdr = 0.05, fc = 2, size = 0.4, palette = c("#B31B21", "#1465AC", "darkgray"), genenames = as.vector(diff_express$name), legend = "top", top = 20, font.label = c("bold", 11), label.rectangle = TRUE, font.legend = "bold", font.main = "bold", ggtheme = ggplot2::theme_minimal())
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