山巒圖,英文名叫做ridge plot,其本質上是密度圖(density plot),其實中文並沒有統一的稱呼,但是由於其外貌高低不平,形似山川,一般稱呼其爲“山巒圖”。山巒圖的用法與小提琴圖、箱形圖相似,主要用於可視化數據的分佈情況,而外形上卻具有中國山水畫的美感。
library(Seurat)
library(SeuratData)
AvailableData()
library(ggthemes)
library(ggimage)
library(pbmc3k.SeuratData)
pbmc3k.final
An object of class Seurat
13714 features across 2638 samples within 1 assay
Active assay: RNA (13714 features, 2000 variable features)
2 dimensional reductions calculated: pca, umap
先選一個作爲好看的模板。
imcell <- 'cell.png'
classmk <-c("IL7R", "CCR7", "IL7R", "S100A4","CD14", "LYZ","MS4A1","CD8A","FCGR3A", "MS4A7", "GNLY",
"NKG7","FCER1A", "CST3","PPBP")
RidgePlot(pbmc3k.final,features =classmk)
看起來,這個幾個基因不錯:
qljs<- c("S100A4","LYZ","CST3","IL7R")
但是最好的還是LYZ,LaiYunZhou的首字母,就它了。
RidgePlot(pbmc3k.final,features ="LYZ") + # 畫山
geom_jitter(width = .5,height =.4,alpha=0.5,colour="green",shape=21) + # 畫雨
geom_image(image = imcell, size = .025,alpha=0.4)+ # 畫水
theme_solarized(light = F ) + ggtitle("單細胞·千里江山圖\n天街小雨潤如酥\n草色遙看近卻無") +
NoLegend()