Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts.

Bayesian ME/CFS metabolomics p-value statistics

Journal

Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790

Informations de publication

Date de publication:
31 Aug 2023
Historique:
received: 12 07 2023
revised: 07 08 2023
accepted: 28 08 2023
medline: 27 9 2023
pubmed: 27 9 2023
entrez: 27 9 2023
Statut: epublish

Résumé

Univariate analyses of metabolomics data currently follow a frequentist approach, using

Identifiants

pubmed: 37755264
pii: metabo13090984
doi: 10.3390/metabo13090984
pmc: PMC10535181
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIAID NIH HHS
ID : U54 AI138370
Pays : United States
Organisme : NIH HHS
ID : U54 AI138370
Pays : United States

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Auteurs

Christopher Brydges (C)

West Coast Metabolomics Center, UC Davis, Davis, CA 95616, USA.

Xiaoyu Che (X)

Center for Infection and Immunity, Mailman School of Public Health of Columbia University, New York, NY 10032, USA.
Department of Biostatistics, Mailman School of Public Health of Columbia University, New York, NY 10032, USA.

Walter Ian Lipkin (WI)

Center for Infection and Immunity, Mailman School of Public Health of Columbia University, New York, NY 10032, USA.
Vagelos College of Physicians and Surgeons of Columbia University, New York, NY 10032, USA.

Oliver Fiehn (O)

West Coast Metabolomics Center, UC Davis, Davis, CA 95616, USA.

Classifications MeSH