Fenglong Yang

The paper identifies a microbial module, the FERM guild, associated with hypertension through metabolic flux changes using pFBA and DoubleML.

The paper investigates gut microbiota dysbiosis in hypertension and its interactions with the host immune system using multi-omics data and single-cell analysis.

This study identifies differential gut microbiota species and metabolic fluxes associated with depression using computational modeling and mediation analysis.

The paper identifies microbiota biomarkers and metabolic pathways associated with IBD using metagenomic data from 3044 samples, revealing species and pathway differences between IBD and healthy individuals.

This study identifies metabolic flux disorders in gut microbiota associated with hypertension by analyzing microbial interactions and metabolite changes.

This study identifies a new bacterium capable of degrading pentachlorobiphenyl and characterizes its enzymatic, proteomic, and metabolomic responses to the pollutant.

mAML is an automated ML pipeline for microbial classification in human diseases, achieving high performance on 13 benchmark datasets and providing a repository of 12,429 metagenomic and 38,643 amplicon samples.