考虑这个矩阵:
test = matrix(rnorm(200), 20, 10)
test[1:10, seq(1, 10, 2)] = test[1:10, seq(1, 10, 2)] + 3
test[11:20, seq(2, 10, 2)] = test[11:20, seq(2, 10, 2)] + 2
test[15:20, seq(2, 10, 2)] = test[15:20, seq(2, 10, 2)] + 4
colnames(test) = paste("Test", 1:10, sep = "")
rownames(test) = paste("Gene", 1:20, sep = "")#创建分组进行划分
group_df = data.frame(Groups=rep(c("Control", "Treated"), c(5,5)))
rownames(group_df) <- colnames(test)#生成热图:
pheatmap(test, cluster_cols = FALSE, scale = 'row',
annotation_col = group_df,
show_colnames = FALSE,
border_color = "white",
colorRampPalette(c("#00FF00", "white", "#DC143C"))(75),
gaps_col = cumsum(c(5,5)))如何将Control和Treated的颜色从蓝色和红色更改为不同的颜色?

发布于 2021-11-16 06:16:47
将group_df更改为因子,然后指定annotation_colors将起作用。
group_df = data.frame(Groups=as.factor(rep(c("Control", "Treated"), c(5,5))))
ann_colors = list(
Groups = c(Control="black", Treated="white"))
rownames(group_df) <- colnames(dummy)
pheatmap(dummy, cluster_cols = FALSE, scale = 'row',
annotation_col = group_df,
annotation_colors = ann_colors,
show_colnames = FALSE,
border_color = "white",
colorRampPalette(c("#00FF00", "white", "#DC143C"))(75),
gaps_col = cumsum(c(5,5)))

https://stackoverflow.com/questions/69984316
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