Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes
Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes
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Author / Creator
Zhang, Xueli , Huang, Yu , Liu, Shunming , Ma, Shuo , Li, Min , Zhu, Zhuoting , Wang, Wei , Zhang, Xiayin , Liu, Jiahao , Tang, Shulin , Hu, Yijun , Ge, Zongyuan , Yu, Honghua , He, Mingguang and Shang, Xianwen
Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Contents
It is unclear regarding the association between metabolomic state/genetic risk score(GRS) and brain volumes and how much of variance of brain volumes is attributable to metabolomic state or GRS.
Our analysis included 8635 participants (52.5% females) aged 40-70 years at baseline from the UK Biobank. Metabolomic profiles were assessed using nucle...
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Full title
Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_cbad88030c824862a96ebfebd8e7fb0e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cbad88030c824862a96ebfebd8e7fb0e
Other Identifiers
ISSN
1479-5876
E-ISSN
1479-5876
DOI
10.1186/s12967-024-05868-3
