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. 2017 Feb 8;18:94. doi: 10.1186/s12859-017-1516-0

Fig. 1.

Fig. 1

Schematic 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 taxon