library(readxl)
library(tidyr)
library(dplyr)
EIF4G3 <- read_xlsx("Fathman nPOD data-PMID 22923498.xlsx", range = cell_rows(9:29), col_names = c("ID", "EIF4G3.PLN"))
EIF4G1 <- read_xlsx("Fathman nPOD data-PMID 22923498.xlsx", range = cell_rows(34:61), col_names = c("ID", "EIF4G1.PLN"))
CASP3 <- read_xlsx("Fathman nPOD data-PMID 22923498.xlsx", range = cell_rows(66:92), col_names = c("ID", "CASP3.PLN"))
dataset <- EIF4G3 %>%
full_join(EIF4G1) %>%
full_join(CASP3) %>%
mutate(ID = as.integer(ID)) %>%
drop_na(ID)
write.table(dataset, "PMID22923498_Yip-2012.tsv", sep = "\t", quote = F, row.names = F)
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