Fig. 1From: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome dataSchematic overview of the proposed integrative Bayesian approach for the application to data from the Human Microbiome Project. The observed data counts (right) are regressed on the available covariates (left), through a variable selection approach, which informs the (unknown) population abundance of each taxonBack to article page