Nothing
# Return:
# $`Cluster 1`
# Terms
# [1,] "Cellular component organization"
# [2,] "Organelle organization"
# [3,] "Positive regulation of catalytic activity"
# [4,] "Positive regulation of molecular function"
# ...
getTerms <- function(feaResults, returnValue="description") #GO
{
if(!is.list(feaResults)) stop("Please provide the whole output from one of the fea functions.") # Only Clusters/Metagroups are used. (no need of $GeneTermSets)
grNames <- NULL
if("clusters" %in% names(feaResults))
{
if(!is.null(feaResults$clusters))
{
grType<-"Cluster"
feaResults <- feaResults$clusters
if("Cluster" %in% colnames(feaResults)) grNames <- feaResults$Cluster
}else{
grType <- "Gene-term set"
feaResults <- feaResults$geneTermSets
feaResults$Terms <- unlist(formatTerms(as.character(feaResults$Terms)))
grNames <- rownames(feaResults)
}
}
if("metagroups" %in% names(feaResults))
{
grType <- "Metagroup"
feaResults <- feaResults$metagroups
grNames <- rownames(feaResults)
}
mgTerms <- getMGTerms(feaResults, grType=grType)
if(returnValue=="GO") # Return go IDs
{
terms <- sapply(mgTerms, function(x) x[grepl(pattern="GO:",x[,"TermID"]),"TermID"])
#terms <- sapply(terms, function(x) sapply(x, function(y) strsplit(y,split=":[[:alpha:]]",perl=TRUE)[[1]][1]))
names(terms) <- paste(grType, grNames)
}
else if(returnValue=="description") # Return term description
{
terms <- lapply(mgTerms, function(x)
{
temp <- rbind(x)[,"TermDescription", drop=FALSE]
colnames(temp) <- "Terms"
rownames(temp) <- NULL
return(temp)
})
}
return(terms)
}
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