A Bayesian Multi-Task Approach for Detecting Global Microbiome Associations
F. Hatami, E. Beamish, R. Rigby, F. Dondelinger
This paper introduces a Bayesian multi-task method to detect global microbiome associations without relying on distance measures or individual species analysis, showing reliable performance on real-world datasets.
bioRxiv · Jan 8, 2020 · PreprintMicrobiology