1. Dynamic Bayesian inference network.
Dynamic Bayesian inference network. Nodes represent the sampled sites, and edge thicknesses the numbers of OTUs that are potentially influencing each other across different sites. (A) Overall site-level summary of the dynamic Bayesian network for the Shedd Aquarium microbiome, where food is the statistically most influential site in the network (binomial, P < 0.001). (B, C) Networks before (B) and while taking (C) probiotics.
Cesar Cardona et al. mSystems 2018; doi: /mSystems