pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods.

Background: Variability in datasets is not only the product of biological processes: they are also the product of technical biases. ComBat and ComBat-Seq are among the most widely used tools for correcting those technical biases, called batch effects, in, respectively, microarray and RNA-Seq expression data.

Results: In this technical note, we present a new Python implementation of ComBat and ComBat-Seq.