An interpretable machine learning model for precise prediction of biomarkers for intermittent fastin...
An interpretable machine learning model for precise prediction of biomarkers for intermittent fasting pattern
About this item
Full title
Author / Creator
Hu, Xiaoli , Xu, Qingjun , Ma, Xuan , Li, Lin , Wu, Yongning and Sun, Feifei
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
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 learnin...
Alternative Titles
Full title
An interpretable machine learning model for precise prediction of biomarkers for intermittent fasting pattern
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_1b2f491898334a1190492c3efbc87168
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1b2f491898334a1190492c3efbc87168
Other Identifiers
ISSN
1743-7075
E-ISSN
1743-7075
DOI
10.1186/s12986-024-00876-y
