S. Hosoda

Umibato: estimation of time-varying microbial interaction using continuous-time regression hidden Markov model

Umibato estimates time-varying microbial interactions using a Bayesian model and Gaussian process regression, outperforming existing methods on synthetic data and providing insights into diet-gut microbiota relationships.

Revealing microbial assemblage structure in the human gut microbiome using latent Dirichlet allocation

This study uses latent Dirichlet allocation to detect microbial assemblages in the human gut microbiome, revealing four assemblages with distinct compositions and relationships to enterotypes.