Nothing
#' @export
getRegionScores <- function(ranks, regions){
if(! "abs.order" %in% colnames(ranks)){
message("No ranks in input file; adding ranks. Save computational time by running addRanks() on your input file if you plan on running getRegionScores() more than once.")
addRanks(ranks)->ranks
}
unlist(lapply(1:1000, function(x){
ranks$PC_Score[sample(1:nrow(ranks), 100)]
})) -> n
upop <- mean(n)
sdpop <- sd(n)
apply(regions, 1, FUN=function(x){
paste0(x[1],":",as.numeric(x[2]):as.numeric(x[3]))
}) -> r
ranks[row.names(ranks)%in%unique(unlist(r)),]->tmp
names(r)<-regions[[4]]
means <- c()
nCpGs <- c()
zv <- c()
pv <- c()
for(i in 1:length(r)){
a<-tmp$PC_Score[row.names(tmp)%in%r[[i]]]
means <- c(means,mean(a))
nCpGs <- c(nCpGs, length(a))
zv <- c(zv,((mean(a)-upop)/sdpop))
if(length(a) > 3){
if(length(a) < length(n)){
b <- n[sample(1:length(n), length(a))]
} else{
b <- n
}
pv <- c(pv, t.test(a, b)$p.value)
} else{
pv <- c(pv, NA)
}
}
return(data.frame(feature=names(r), meanPC=means, nCpG=nCpGs, Z=zv, p=pv))
}
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