Article

Longitudinal metabolomics data analysis informed by mechanistic models

2024-08-16

Abstract excerpt

<h4>Motivation</h4> Metabolomics measurements are noisy, often characterized by a small sample size and missing entries. While data-driven methods have shown promise in terms of analyzing metabolomics data, e.g., revealing biomarkers of various phenotypes, metabolomics data analysis can significantly benefit from incorporating prior information about metabolic mechanisms. In this paper, we introduce a novel data...

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Literature Corpus work: 3892ec4e-737f-5281-9412-bfa1f01fd58b
DOI: 10.1101/2024.08.13.607724

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