## 设置R的lib路径
.libPaths("C:/Program Files/R/R-3.5.2/library")
## 数据转换
tmp <- as.data.frame(tmp)
tc.cancer$RP <- as.numeric(tc.cancer$RP)
DCid <- as.character(DCid)
## 备份文件
write.table(rownames(rpdata.rp.used), file = "rpdata.rp.used", append = FALSE, quote = FALSE, sep = "\n",eol = "\n", na = "NA", dec = ".", row.names = FALSE)
### ensemble id 转 gene symbol
library(Seurat)
library(data.table)
library(DropletUtils)
library(org.Hs.eg.db)
## 后面两个转不出来为NA
inputs <- c('ENSG00000283239', 'ENSG00000273748', 'ENSG00000273748')
ids=select(org.Hs.eg.db,keys = inputs,
columns = c('ENSEMBL','SYMBOL'),
keytype = 'ENSEMBL')
## 读取文件一列作为vector
df <- read.table('./ups.txt', header = FALSE)
df <- as.vector(df$V1)
## 建立制定函数的R的dataframe
results <- as.data.frame(array(,dim=c(length( rownames(PRO[["RNA"]]@data) ),0)))
## 判断某一列是否有某个元素
tcrs_cells = rownames(tcrs)
### 判断是否存在
check_in <- function(x) {
if( x %in% tcrs_cells){
return("TCR")
}else{
return("no TCR")
}
}
PRO1@meta.data$TCR = sapply(PRO1@meta.data$barcode, check_in)
R字符处理相关
## 以空格隔开
tmp <- unlist(strsplit("1 Tumour core", " "))
R画图相关
## 设置画版大小
options(repr.plot.width=14, repr.plot.height=6)
文件输出
## 输出dataframe的某几列
pairs <- CellChatDB$interaction[c("ligand","receptor")]
write.table(pairs ,file="cellchat.pairs.csv",sep="\t", row.names=FALSE, na = "NA", quote=FALSE)
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