Seurat是分析单细胞数据一个非常好用的包，几句代码就可以出图，如feature plot,violin plot,heatmap等，但是图片有些地方需要改善的地方，默认的调整参数没有提供，好在Seurat的画图底层是用ggplot架构的，我们可以用ggplot的参数进行调整。
默认的feature plot是坐标轴形式
代码语言：javascript复制FeaturePlot(seurat.object,features = c("Thy1"))
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改成加框：
代码语言：javascript复制FeaturePlot(seurat.object,features = c("Thy1")) annotate(geom = 'segment', y = Inf, yend = Inf, color = 'black', x = -Inf, xend = Inf, size = 1) annotate(geom = 'segment', x = Inf, xend = Inf, color = 'black', y = -Inf, yend = Inf, size = 0.5) 
image.png
去掉框顺便改个颜色
代码语言：javascript复制FeaturePlot(object = seurat.object, features = c('Thy1'),cols = c("lightgrey" ,"#DE1F1F"),slot = "data",label.size = 6,pt.size = 1.2) theme(axis.line = element_blank(), axis.text = element_blank(), axis.ticks = element_blank(), axis.title = element_blank()) guides(color=F)
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可以将通过rgb颜色改个透明度
代码语言：javascript复制print(FeaturePlot(object = CDCs, features = c('Thy1'),cols = c(rgb(220,212,213,180,maxColorValue = 255),rgb(174,27,52,50, maxColorValue = 255)),slot = "scale.data",label.size = 6,pt.size = 1.5,min.cutoff = "q10", max.cutoff = "q90") theme(axis.line = element_blank(), axis.text = element_blank(), axis.ticks = element_blank(), axis.title = element_blank()))
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