Article

A hyperspherical deep Bayesian model for interpretable clustering and relationship prediction in microbiome multi-omics integration

2026-08-01

Abstract excerpt

The microbiome plays a significant role in the development and progression of many diseases, yet extracting interpretable insights from multi-omics data remains challenging. Existing approaches face a recurring practical trade-off: deep learning methods achieve high predictive performance but lack uncertainty quantification, whereas probabilistic methods provide interpretable results but require data-type-specific...

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Literature Corpus work: faee135e-7186-5087-b75e-ae7cd9f668ee
DOI: 10.64898/2026.07.28.741374

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