Identifies association between phenotypes and microbial taxa. BDMMA is a method using the Dirichlet-multinomial (DM) regression with integrated batch effects intending to diminish false discovery rates. It censuses metagenomic data’s features, considers their dependences between microbial taxa, highlights associations between microbial taxa and targeted covariates and models batch effects.
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