Analyzing postprandial metabolomics data using multiway models: a simulation study

Analyzing postprandial metabolomics data using multiway models: a simulation study

Abstract Background Analysis of time-resolved postprandial metabolomics data can improve the understanding of metabolic mechanisms, potentially revealing biomarkers for early diagnosis of metabolic diseases and advancing precision nutrition and medicine. Postprandial metabolomics measurements at sev...

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Bibliographic Details
Main Authors: Lu Li, Shi Yan, Barbara M. Bakker, Huub Hoefsloot, Bo Chawes, David Horner, Morten A. Rasmussen, Age K. Smilde, Evrim Acar
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Bioinformatics
Subjects:
Postprandial metabolomics data
Time-resolved metabolomics data
Tensor factorizations (multiway data analysis)
CANDECOMP/PARAFAC (CP)
Principal component analysis (PCA)
Meal challenge test
Online Access:https://doi.org/10.1186/s12859-024-05686-w

Internet

https://doi.org/10.1186/s12859-024-05686-w

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