In the prenatal liver study, I needed to give some of the normalized gene expression levels to a researcher in a form he could use. The data he needed was in a data frame with 94 rows and 16 columns (folate.signal). But unfortunately, the names of the rows (gene.symbol) and columns (liver.names) were stored in separate objects. Here’s one way to match the values back up.
First, there are duplicates in the gene.symbol list, so to create new names, use the makeUnique function found in the limma library. Then change folate.signal from a data frame to a matrix. Use the dimnames function to add the row and column names to the matrix. Finally, use the write.table function to create a text file.
gene.unique <- makeUnique(paste(gene.symbol," ")) folate.matrix <- as.matrix(folate.signal) dimnames(folate.matrix) <- list(gene.unique,liver.names) write.table(folate.matrix,"x:/sleeder/folate.txt")
You can find an earlier version of this page on my original website.