directory <- "~/github/TrenaMultiScore/misc/erythropoiesis/marjorieDemos/fimo2"
rdata.files <- list.files(path=directory, pattern=".RData")
tbls <- lapply(head(rdata.files, n=-1), function(file){
full.path <- file.path(directory, file)
if(file.size(full.path) > 10000){
tbl <- get(load(full.path))
tbl.tbx15 <- subset(tbl, tf=="TBX15")
return(tbl.tbx15)
}})
tbl.tbx15 <- do.call(rbind, tbls)
dim(tbl.tbx15) # 40571 20
save(tbl.tbx15, file="tbx15.RData")
# table(subset(tbl.tbx15, gh > 500 & abs(cor) > 0.5 & abs(tss) < 500 & phast30 > 0.9)$targetGene)
# BCL6 CPEB4 FOXJ3 MIR144 MIR4732 NATD1 OSR2 PDZK1IP1 RUNDC3A SLC30A1 SPI1
# 31 10 2 4 4 3 6 6 39 3 15
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