Related Experiment Video

Updated: Jul 6, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
11:02

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

539

Matrix Linear Models for connecting metabolite composition to individual characteristics.

Gregory Farage1, Chenhao Zhao1, Hyo Young Choi1

  • 1Department of Preventive Medicine, Division of Biostatistics, University of Tennessee Health Science Center, Memphis, TN 38163.

Biorxiv : the Preprint Server for Biology
|January 8, 2024
PubMed
Summary

This study introduces a new bilinear model to analyze high-throughput metabolomics data, improving the understanding of how metabolite levels relate to sample and metabolite characteristics. The Matrix Linear Model (MLM) framework offers a flexible and interpretable approach for complex biological data analysis.

Keywords:
Julia languagebilinear modelshigh-throughput datalipidomicsmetabolomics

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