# 安装包
if (!requireNamespace("GOplot", quietly = TRUE)) {
install.packages("GOplot")
}if (!requireNamespace("ggplotify", quietly = TRUE)) {
install.packages("ggplotify")
}
# 加载包
library(GOplot)
library(ggplotify)
GO气泡图
GO气泡图用于显示按z-score或adjusted p-value的负相对序列的Z-score彩色气泡图。
环境配置
系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包:
GOplot
;ggplotify
数据准备
加载的数据是具有七个列的GO富集的结果:category, GO id, GO term, gene count, gene name, logFC, adjust pvalue and zscore。
# 加载数据
<- read.delim("files/Hiplot/078-gobubble-data.txt", header = T)
data
# 整理数据格式
colnames(data) <- c("category","ID","term","count","genes","logFC","adj_pval","zscore")
<- data[data$category %in% c("BP","CC","MF"),]
data <- data[!is.na(data$adj_pval),]
data $adj_pval <- as.numeric(data$adj_pval)
data$zscore <- as.numeric(data$zscore)
data
# 查看数据
head(data)
category ID term count genes logFC adj_pval
1 BP GO:0007507 heart development 54 DLC1 -0.9707875 2.17e-06
2 BP GO:0007507 heart development 54 NRP2 -1.5153173 2.17e-06
3 BP GO:0007507 heart development 54 NRP1 -1.1412315 2.17e-06
4 BP GO:0007507 heart development 54 EDN1 1.3813006 2.17e-06
5 BP GO:0007507 heart development 54 PDLIM3 -0.8876939 2.17e-06
6 BP GO:0007507 heart development 54 GJA1 -0.8179480 2.17e-06
zscore
1 -0.8164966
2 -0.8164966
3 -0.8164966
4 -0.8164966
5 -0.8164966
6 -0.8164966
可视化
# GO气泡图
<- function () {
p GOBubble(data, display = "single", title = "GO Enrichment Bubbleplot",
colour = c("#FC8D59","#FFFFBF","#99D594"),
labels = 0, ID = T, table.legend = T, table.col = T, bg.col = F) +
theme(plot.title = element_text(hjust = 0.5))
}<- as.ggplot(p)
p
p

如示例图所示,图的x轴表示z-score。y轴上显示了 adjusted p-value 的负对数(对应于该 term 的重要性)。绘制圆圈的面积与分配给该 term 的基因数量成正比。每个圆都根据其类别进行着色,并用 ID 或 term 名称标记。