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README.md
In BDMMAcorrect: Meta-analysis for the metagenomic read counts data from different cohorts
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
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BDMMAcorrect documentation built on Nov. 8, 2020, 5:50 p.m.
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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
Try the BDMMAcorrect package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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