MB-SupCon: Microbiome-based predictive models via Supervised Contrastive Learning
Sen Yang, Shidan Wang, Yiqing Wang, Ruichen Rong, Jiwoong Kim, Bo Li, Andrew Young Koh, Guanghua Xiao, Qiwei Li, Dajiang J. Liu, Xiaowei Zhan
MB-SupCon integrates microbiome and metabolomics data to improve prediction accuracy in microbiome-only datasets, achieving high accuracy in predicting insulin resistance, sex, and race.
Journal of Molecular Biology · Jun 28, 2022Peer-reviewedBioinformatics