跟着Cell学单细胞转录组分析(六):细胞比例计算及可视化 - 简书 (jianshu.com)
nature级别图表:单细胞转录组细胞比例统计可视化函数 - 简书 (jianshu.com)
通过cluster ID, replicate或两者兼有来列表展示细胞
# How many cells are in each cluster
table(Idents(pbmc))
##
## Naive CD4 T Memory CD4 T CD14+ Mono B CD8 T FCGR3A+ Mono
## 697 483 480 344 271 162
## NK DC Platelet
## 155 32 14
# How many cells are in each replicate?
table(pbmc$replicate)
##
## rep1 rep2
## 1348 1290
# What proportion of cells are in each cluster?
prop.table(table(Idents(pbmc)))
##
## Naive CD4 T Memory CD4 T CD14+ Mono B CD8 T FCGR3A+ Mono
## 0.264215315 0.183093252 0.181956027 0.130401820 0.102729340 0.061410159
## NK DC Platelet
## 0.058756634 0.012130402 0.005307051
# How does cluster membership vary by replicate?
table(Idents(pbmc), pbmc$replicate)
##
## rep1 rep2
## Naive CD4 T 354 343
## Memory CD4 T 249 234
## CD14+ Mono 232 248
## B 173 171
## CD8 T 154 117
## FCGR3A+ Mono 81 81
## NK 81 74
## DC 18 14
## Platelet 6 8
prop.table(table(Idents(pbmc), pbmc$replicate), margin = 2)
##
## rep1 rep2
## Naive CD4 T 0.262611276 0.265891473
## Memory CD4 T 0.184718101 0.181395349
## CD14+ Mono 0.172106825 0.192248062
## B 0.128338279 0.132558140
## CD8 T 0.114243323 0.090697674
## FCGR3A+ Mono 0.060089021 0.062790698
## NK 0.060089021 0.057364341
## DC 0.013353116 0.010852713
## Platelet 0.004451039 0.006201550
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