Batch effect correction for microbiome data with Bayesian Dirichlet-multinomial regression

Our project developed a Bayesian approach to correct for batch effects in microbiome compositional data with Dirichlet-Multinomial regression.

References

Dai, Z., Wong, S. H., Yu, J., & Wei, Y. (2019). Batch effects correction for microbiome data with Dirichlet-multinomial regression. Bioinformatics. Bioinformatics, 35 (5): 807–814