accustomed color scheme in Seurat FeaturePlot

FeaturePlot(seu.integrated, reduction="pca", features = c("AIF1", "CD53", "CD68", "CD74", "CSF1R", "FCGR2A", "HLA-DRA", "P2RY12", "PTPRC", "TYROBP")) &
scale_colour_gradientn(colours = rev(brewer.pal(n = 11, name = "RdBu")))

FeaturePlot(seu.integrated, reduction="pca", features = c("AIF1", "CD53", "CD68", "CD74", "CSF1R", "FCGR2A", "HLA-DRA", "P2RY12", "PTPRC", "TYROBP")) &
scale_colour_gradientn(colours = rev(brewer.pal(n = 11, name = "RdBu"))[6:11])

FeaturePlot(seu.integrated, reduction="pca", features = c("AIF1", "CD53", "CD68", "CD74", "CSF1R", "FCGR2A", "HLA-DRA", "P2RY12", "PTPRC", "TYROBP")) &
scale_colour_gradient(low="white", high="red")

colours = rev(brewer.pal(n = 11, name = "RdBu"))

FeaturePlot(seu.integrated, reduction="pca", features = c("AIF1", "CD53", "CD68", "CD74", "CSF1R", "FCGR2A", "HLA-DRA", "P2RY12", "PTPRC", "TYROBP")) &
scale_colour_gradient2(midpoint=2)

FeaturePlot(seu.integrated, reduction="pca", features = c("AIF1", "CD53", "CD68", "CD74", "CSF1R", "FCGR2A", "HLA-DRA", "P2RY12", "PTPRC", "TYROBP")) &
scale_colour_gradient2(low=colours[1], high=colours[11], midpoint=2)

最后编辑于
©著作权归作者所有,转载或内容合作请联系作者
平台声明:文章内容(如有图片或视频亦包括在内)由作者上传并发布,文章内容仅代表作者本人观点,简书系信息发布平台,仅提供信息存储服务。

推荐阅读更多精彩内容