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

2024-01-01

Abstract excerpt

<title>Abstract</title> <p><bold>Introduction.</bold> Longitudinal metabolomics data from a meal challenge test contains both fasting and dynamic signals, that may be related to metabolic health and diseases. Recent work has explored the multiway structure of time-resolved metabolomics data by arranging it as a three-way array with modes: subjects, metabolites, and time. The analysis of such dynamic data (where t...

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Literature Corpus work
acb0283d-2dc7-5b56-96ae-76467e2164af
DOI
10.21203/rs.3.rs-3811343/v1
Open publication

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Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizationsDOI 10.21203/rs.3.rs-3811343/v1
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