转自:https://scrnaseq-course.cog.sanger.ac.uk/website/seurat-chapter.html#finding-differentially-expressed-genes-cluster-biomarkers
https://satijalab.org/seurat/archive/v3.1/pbmc3k_tutorial.html
https://www.rdocumentation.org/packages/Seurat/versions/1.4.0/topics/FindAllMarkers
1.FindAllMarkers
FindAllMarkers(object, ident.1, ident.2 = NULL, genes.use = NULL, thresh.use = 0.25, test.use = "bimod", min.pct = 0.1, min.diff.pct = 0.05, print.bar = TRUE, only.pos = FALSE, max.cells.per.ident = Inf, return.thresh = 0.01, do.print = FALSE, random.seed = 1)
参数:
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only.pos:Only return positive markers ;
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min.pct:只测试在两个cluster中检测到至少在min.pct%中表达的基因。通过不测试那些很少表达的基因来加快速度。
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thresh.use:将测试限制在显示两组细胞之间平均至少x倍差异(对数尺度)的基因上。 增大它加速运算,但可能会错过较弱的信号。
教程中提供:
pbmc.markers <- FindAllMarkers(object = pbmc, only.pos = TRUE, min.pct = 0.25, thresh.use = 0.25)