RETRACTED ARTICLE: An interpretable machine learning model for precise prediction of biomarkers for intermittent fasting pattern
Xiaoli Hu, Qingjun Xu, Xuan Ma, Lin Li, Yongning Wu, Feifei Sun · 2024
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Description
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 was further analyzed through interpretable machine learning (ML) to data mine the biomarkers for two dietary patterns.
Catalog record
| CREATOR | Xiaoli Hu, Qingjun Xu, Xuan Ma, Lin Li, Yongning Wu, Feifei Sun |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 30 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |