I am using TCGA RNA-Seq data for a neural net method. I have splitted the data to train and test set. how do i normalize count data of train and test set without data leakage using limma?
My Idea is I might be able to normalize the train set using limma+voom method first and then use the parameters calculated by voom on train set(
weights) to normalize the test set. however I couldn't realize how?
any help would be greatly appreciated.