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K. Ning

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Review Open access Sep 2026

Foundation Models for Microbiome Research: From Sequence Semantics to Community Dynamics and Multimodal World Models

ABSTRACT Microbiome sequencing has advanced faster than microbiome understanding. Although large‐scale 16S, metagenomic, metatranscriptomic, and proteomic datasets have accumulated rapidly, most analyses remain cohort‐specific and association‐driven, limiting mechanistic insight, cross‐study transferability, and robust...

Hao-Hong Zhang, Zi-Xin Kang, K. Ning · 0 citations
Open access Jul 2026

MGM2 as a Unified Foundation Model for Microbiome World Exploration

MGM2 provides a sequence-aware and interpretable representation layer for microbiome classification, paired-community prediction, forecasting and feature discovery and a 4,096-feature sparse autoencoder atlas resolves taxonomic, abundance, ecological and technical signals.

Haohong Zhang, Yuli Zhang, Yu Qi et al. · 0 citations

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