Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders

Muhammad Ammar Malik, Tom Michoel

Random effect models are popular statistical models for detecting and correcting spurious sample correlations due to hidden confounders in genome-wide gene expression data. In appl…