Hello everyone. I am using a deep learning algorithm for classification on gene expression data. The training dataset is batch corrected and the validation dataset isn't. The PCA shows clear distinction in the two phenotypes, hence I did not apply any batch correction. This has caused covariate shift. How do i correct this for the validation set? Thank you