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Article

Optimized Phenotypic Biomarker Discovery and Confounder Elimination via Covariate-Adjusted Projection to Latent Structures from Metabolic Spectroscopy Data.

Journal of proteome research - 6 Apr 2018

Posma Joram M, Garcia-Perez Isabel, Ebbels Timothy M D, Lindon John C, Stamler Jeremiah, Elliott Paul, Holmes Elaine, Nicholson Jeremy K

Abstract excerpt

Metabolism is altered by genetics, diet, disease status, environment, and many other factors. Modeling either one of these is often done without considering the effects of the other covariates. Attributing differences in metabolic profile to one of these factors needs to be done while controlling for the metabolic influence of the rest. We describe here a data analysis framework and novel confounder-adjustment...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 29457906
DOI: 10.1021/acs.jproteome.7b00879
PMCID: PMC5891819

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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