Bayesian network regression with applications to microbiome data

Microbial communities are among the main driving forces of human, soil and plant health. To understand the connection between microbial interaction networks and human or plant features, we have translated into Julia a Bayesian network regression model originally developed on brain connectome data. We aim to create a Julia package to extend this model to the microbiome, to identify relationships between the overall network structure of the microbiome and human, soil or plant response variables.