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

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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Bibliographic Details
Main Authors: 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
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-84824-3

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https://doi.org/10.1038/s41598-021-84824-3

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