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