Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations

Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations

Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations

Authors: L. Li, S. Yan, D. Horner, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Status: Submitted
Publication type: Journal Article
Year of publication: 2023
Journal: ResearchSquare
Publisher: Springer
DOI: https://doi.org/10.21203/rs.3.rs-3811343/v1
Citation key: 17524

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