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· Advanced genetics· 0 citations
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.