Machine Learning Reveals Time-Varying Microbial Predictors with Complex Effects on Glucose Regulation
ABSTRACT The incidence of type 2 diabetes (T2D) has been increasing globally, and a growing body of evidence links type 2 diabetes with altered microbiota composition. Type 2 diabetes is preceded by a long prediabetic state characterized by changes in various metabolic parameters. We tested whether...
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| Auteurs principaux: | , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
American Society for Microbiology
2021
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| Accès en ligne: | https://doaj.org/article/f257e30117d14b4c92887fd9da5785fa |
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