多个list做功能富集分析

library("org.Hs.eg.db")
rt=read.table("cluster 1.txt",sep="\t",check.names=F,header=T)
genes=as.vector(rt[,1])
entrezIDs <- mget(genes, org.Hs.egSYMBOL2EG, ifnotfound=NA)
entrezIDs <- as.character(entrezIDs)
out1=cbind(rt,entrezID=entrezIDs)

rt=read.table("cluster 2.txt",sep="\t",check.names=F,header=T)
genes=as.vector(rt[,1])
entrezIDs <- mget(genes, org.Hs.egSYMBOL2EG, ifnotfound=NA)
entrezIDs <- as.character(entrezIDs)
out2=cbind(rt,entrezID=entrezIDs)


library("clusterProfiler")
library("org.Hs.eg.db")
library("enrichplot")
library("ggplot2")
cp = list(cluster_1=out1$entrezID, cluster_2=out2$entrezID)  # 合并两个数据集，并转换为列表
xx <- compareCluster(cp, fun="enrichKEGG", organism="hsa", pvalueCutoff=0.01,pAdjustMethod = "BH",qvalueCutoff = 0.05) 
dotplot(xx,showCategory=10,includeAll=TRUE)

a<-xx@compareClusterResult
write.csv(a,"KEGG-enrich.csv",row.names =F)