Interpretable machine learning framework reveals novel gut microbiome features in predicting type 2 diabetes
W. Gou, C.-w. Ling, Z. Jiang, Y. He, Y. Fu, F. XU, Z. Miao, T.-y. Sun, J.-s. Lin, H.-l. Zhu, H. Zhou, Y.-m. Chen, J.-S. Zheng
The paper develops an interpretable machine learning framework to identify gut microbiome features predictive of type 2 diabetes, validated across multiple cohorts and linked to metabolic outcomes.
bioRxiv · Apr 5, 2020Microbiology