I'm working with the CLI and am hoping to build in a batch-correction step for large datasets. My initial thoughts would be to use deactivate_normalization TRUE on peptide intensities which has already been normalized + undergone a batch correction externally to directLFQ. Is there a better approach, and if not, is there a recommended batch correction approach?
I'm working with the CLI and am hoping to build in a batch-correction step for large datasets. My initial thoughts would be to use
deactivate_normalization TRUE
on peptide intensities which has already been normalized + undergone a batch correction externally to directLFQ. Is there a better approach, and if not, is there a recommended batch correction approach?Many thanks