An interpretable machine learning model for precise prediction of biomarkers for intermittent fasting pattern
Abstract Intermittent fasting is currently a highly sought-after dietary pattern. To explore the potential biomarkers of intermittent fasting, untargeted metabolomics analysis of fecal metabolites in two groups of mice, intermittent fasting and normal feeding, was conducted using UPLC-HRMS. The data...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-12-01
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| Series: | Nutrition & Metabolism |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12986-024-00876-y |
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