DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies

Abstract As a powerful phenotyping technology, metabolomics provides new opportunities in biomarker discovery through metabolome-wide association studies (MWAS) and the identification of metabolites having a regulatory effect in various biological processes. While mass spectrometry-based (MS) metabo...

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Auteurs principaux: Nasim Bararpour, Federica Gilardi, Cristian Carmeli, Jonathan Sidibe, Julijana Ivanisevic, Tiziana Caputo, Marc Augsburger, Silke Grabherr, Béatrice Desvergne, Nicolas Guex, Murielle Bochud, Aurelien Thomas
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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R
Q
Accès en ligne:https://doaj.org/article/90d0655bcafa4df9b625fb9bc7e81888
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