Rollup before configuration integration
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@@ -42,12 +42,12 @@ for (i in seq_along(studies)) {
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}
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rm(zs_file, study)
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for (var in ls()) {
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print(paste(var, ":", get(var)))
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}
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# for (var in ls()) {
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# print(paste(var, ":", get(var)))
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# }
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print(input_files)
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print(length(input_files))
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# print(input_files)
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# print(length(input_files))
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# TODO this is better handled in a loop in case you want to compare more experiments?
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# The input is already designed for this
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@@ -88,10 +88,10 @@ if (length(input_files) >= 4) {
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headSel2 <- select(headSel2, -"Gene.1", -"Gene.2", -"Gene.3")
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}
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print(headers)
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# print(headers)
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# headSel$contains("Z_Shift") %>% replace_na(0.001)
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headers <- colnames(headSel)
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print(headers)
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# print(headers)
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i <- 0
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for (i in 1:length(headers)) {
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if (grepl("Shift", headers[i])) {
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@@ -229,10 +229,10 @@ if (sd == 0) {
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# write.csv(combI,file.path(out_dir,"CombinedKLzscores.csv"), row.names = FALSE)
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write.csv(REMcRdy, file.path(out_dir, "REMcRdy_lm_only.csv"), row.names = FALSE, quote = FALSE)
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write.csv(shiftOnly, file.path(out_dir, "Shift_only.csv"), row.names = FALSE, quote = FALSE)
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#LabelStd <- read.table(file="./parameters.csv",stringsAsFactors = FALSE,sep = ",")
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# LabelStd <- read.table(file="./parameters.csv",stringsAsFactors = FALSE,sep = ",")
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LabelStd <- read.csv(file = study_info, stringsAsFactors = FALSE)
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print(sd)
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# print(sd)
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LabelStd[, 4] <- as.numeric(sd)
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write.csv(LabelStd, file = file.path(out_dir, "parameters.csv"), row.names = FALSE)
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write.csv(LabelStd, file = study_info, row.names = FALSE)
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