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Microbiome|January 31, 2026
Revealing interactions between microbes, metabolites, and dietary compounds using genome-scale analysisTong Wang, Benjamin Gyori, Scott T Weiss, et al.Nature Communications|January 18, 2025
Predicting metabolite response to dietary intervention using deep learningTong Wang, Hannah D Holscher, Sergei Maslov, et al.Biorxiv : the Preprint Server for Biology|March 30, 2023
Predicting metabolite response to dietary intervention using deep learningTong Wang, Hannah D Holscher, Sergei Maslov, et al.Nature Communications|September 1, 2023
Removal of false positives in metagenomics-based taxonomy profiling via targeting Type IIB restriction sitesZheng Sun, Jiang Liu, Meng Zhang, et al.Nature Communications|July 18, 2023
Nutritional redundancy in the human diet and its application in phenotype association studiesXu-Wen Wang, Yang Hu, Giulia Menichetti, et al.Trends in Molecular Medicine|July 5, 2022
Rejuvenating the human gut microbiomeShanlin Ke, Scott T Weiss, Yang-Yu LiuNature Communications|September 6, 2022
Dissecting the role of the human microbiome in COVID-19 via metagenome-assembled genomesShanlin Ke, Scott T Weiss, Yang-Yu LiuBioinformatics (Oxford, England)|April 21, 2023
Graph convolutional network-based feature selection for high-dimensional and low-sample size dataCan Chen, Scott T Weiss, Yang-Yu LiuBiorxiv : the Preprint Server for Biology|July 16, 2025
Deep Learning Transforms Phage-Host Interaction Discovery from Metagenomic DataYiyan Yang, Tong Wang, Dan Huang, et al.Ebiomedicine|June 26, 2026
Intrapartum caesarean delivery and childhood BMI trajectories in relation to the infant gut microbiome in the VDAART prospective birth cohortZheng Sun, Tong Wang, Jessica A Lasky-Su, et al.Pageof 420