R: Adjust for batch effects using an empirical Bayes framework
ComBat
R Documentation
Adjust for batch effects using an empirical Bayes framework
Description
ComBat allows users to adjust for batch effects in datasets where the batch covariate is known, using methodology
described in Johnson et al. 2007. It uses either parametric or non-parametric empirical Bayes frameworks for adjusting data for
batch effects. Users are returned an expression matrix that has been corrected for batch effects. The input
data are assumed to be cleaned and normalized before batch effect removal.