Correcting for Known and hidden confounders

SVA

PEER

• Original publication:
  • Stegle, O., Parts, L., Durbin, R., & Winn, J. (2010). A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies. PLoS Computational Biology, 6(5), e1000770–11
• Nature Protocols: Stegle, O., Parts, L., Piipari, M., Winn, J., & Durbin, R. (2012). Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses. Nature Protocols, 7(3), 500–507