Tong Wang

PHILM, a deep learning framework, predicts phage-host interactions from metagenomic data with higher accuracy than traditional methods, identifying more interactions and capturing microbial succession patterns.

This study identifies gut microbiota and metabolite signatures in gliomas and shows their predictive value for prognosis and tumor growth.

The paper introduces MAP2B, a metagenomic profiler that reduces false positives and improves abundance estimation using type IIB restriction sites, outperforming existing methods on benchmark datasets.