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#' Get profile data for more than 500 genes list.
#' @usage getMegaProfData(MegaGeneList,k)
#' @param MegaGeneList Genelist >500
#' @param k integer number of studies
#' @return dataframewith profile data
#' @export
#' @examples
#' myGlobalEnv <- new.env(parent = emptyenv())
#' readRDS(paste(path.package("canceR"),"/extdata/rdata/brca_tcgaGSEAlm1021.rds", sep=""))
#' \dontrun{
#' getMegaProfData(myGlobaEnv$MegaGeneList,1)
#' }
#'
getMegaProfData <- function(MegaGeneList,k)
{
if(is.integer(length(MegaGeneList)/500)){
G <- lenght(MegaGeneList)/500
}else{
G <- as.integer(length(MegaGeneList)/500) + 1
}
GenProf<-myGlobalEnv$GenProfsRefStudies[myGlobalEnv$curselectGenProfs[k]]
Case<-myGlobalEnv$CasesRefStudies[myGlobalEnv$curselectCases[k]]
MegaProfData <- 0
SubMegaGeneList <- 0
for(g in 1: G){
if (length(MegaGeneList) - length(SubMegaGeneList) > 500){
SubMegaGeneList <- MegaGeneList[(((g-1)*500)+1):((g)*500)]
} else{
SubMegaGeneList <- MegaGeneList[((g*500)+1):(length(MegaGeneList) - length(SubMegaGeneList))]
}
print(paste("Getting Profile Data of Genes from: ", (((g-1)*500)+1), "to",((g)*500), sep= " "))
ProfData<-getProfileData(myGlobalEnv$cgds,SubMegaGeneList, GenProf,Case)
MegaProfData <- cbind(MegaProfData, ProfData)
}
MegaProfData <- MegaProfData[,-1]
return(MegaProfData)
}
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