Something wrong with download KEGG dataset. Here I correrted this part.
options(clusterProfiler.download.method = "wget")
enrichKEGG(de,pvalueCutoff=0.01,use_internal_data = F)
--> No gene can be mapped....
--> Expected input gene ID:
--> return NULL...
Sometimes, I found the error from enrichKEGG can't work correct. So I choose to build the KEGG.db.
But......
createKEGGdb::create_kegg_db('hsa')
Error in clusterProfiler:::kegg_list("pathway", species) :
unused argument (species)
The argument "species" was unused. So I checked the cod and find somthing wrong in function "get_path2name"
Here we add line3 and change "species" as "new_species"
get_path2name <- function(species){
if (length(species) == 1) {
new_species=paste0("pathway/",species)
keggpathid2name.df <- clusterProfiler:::kegg_list(new_species)
} else {
keggpathid2name.list <- vector("list", length(species))
names(keggpathid2name.list) <- species
for (i in species) {
keggpathid2name.list[[i]] <- clusterProfiler:::kegg_list("pathway", i)
}
keggpathid2name.df <- do.call(rbind, keggpathid2name.list)
rownames(keggpathid2name.df) <- NULL
}
keggpathid2name.df[,2] <- sub("\s-\s[a-zA-Z ]+\(\w+\)$", "", keggpathid2name.df[,2])
Something wrong with download KEGG dataset. Here I correrted this part.
options(clusterProfiler.download.method = "wget")
enrichKEGG(de,pvalueCutoff=0.01,use_internal_data = F) --> No gene can be mapped.... --> Expected input gene ID: --> return NULL...
Sometimes, I found the error from enrichKEGG can't work correct. So I choose to build the KEGG.db. But...... createKEGGdb::create_kegg_db('hsa') Error in clusterProfiler:::kegg_list("pathway", species) : unused argument (species)
The argument "species" was unused. So I checked the cod and find somthing wrong in function "get_path2name" Here we add line3 and change "species" as "new_species"
get_path2name <- function(species){ if (length(species) == 1) { new_species=paste0("pathway/",species) keggpathid2name.df <- clusterProfiler:::kegg_list(new_species) } else { keggpathid2name.list <- vector("list", length(species)) names(keggpathid2name.list) <- species for (i in species) { keggpathid2name.list[[i]] <- clusterProfiler:::kegg_list("pathway", i)
} keggpathid2name.df <- do.call(rbind, keggpathid2name.list) rownames(keggpathid2name.df) <- NULL } keggpathid2name.df[,2] <- sub("\s-\s[a-zA-Z ]+\(\w+\)$", "", keggpathid2name.df[,2])
keggpathid2name.df[,1] %<>% gsub("path:map", "", .)
colnames(keggpathid2name.df) <- c("path_id","path_name") return(keggpathid2name.df) }
createKEGGdb::create_kegg_db('hsa') install.packages("./KEGG.db_1.0.tar.gz",repos=NULL,type="source")
ego_KEGG=enrichKEGG(gene=list$entrezgene, organism = "hsa", pvalueCutoff = 1, qvalueCutoff=1, minGSSize=1, use_internal_data = T)
Result-----------------------------------
ego_KEGG@result
hsa05202 hsa05202 11/67 193/8292 3.366684e-07 6.093698e-05 4.961429e-05 1051/1649/3398/5966/4616/221037/1026/2120/5914/2521/51274
hsa04141 hsa04141 8/67 171/8292 6.426462e-05 5.815948e-03 4.735288e-03 3309/1649/7095/7184/9709/2923/468/5611
hsa03040 hsa03040 7/67 156/8292 2.460964e-04 1.233899e-02 1.004628e-02 10772/151903/6434/29896/25949/2521/6628
To fix the NA value-----------------------------------
keggpathid2name.df <- clusterProfiler:::kegg_list("pathway/hsa") ego_KEGG@result$Description<-strsplit(keggpathid2name.df$to[match(ego_KEGG@result$ID,keggpathid2name.df$from)], split = " - Homo sapiens (human)",fixed = T)
This is the whole problem and solution method.