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...
Guardado en:
Autores principales: | Nasim Bararpour, Federica Gilardi, Cristian Carmeli, Jonathan Sidibe, Julijana Ivanisevic, Tiziana Caputo, Marc Augsburger, Silke Grabherr, Béatrice Desvergne, Nicolas Guex, Murielle Bochud, Aurelien Thomas |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/90d0655bcafa4df9b625fb9bc7e81888 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Detecting early myocardial ischemia in rat heart by MALDI imaging mass spectrometry
por: Aleksandra Aljakna Khan, et al.
Publicado: (2021) -
Triangulating evidence from longitudinal and Mendelian randomization studies of metabolomic biomarkers for type 2 diabetes
por: Eleonora Porcu, et al.
Publicado: (2021) -
Stepwise heating in Stille polycondensation toward no batch-to-batch variations in polymer solar cell performance
por: Sang Myeon Lee, et al.
Publicado: (2018) -
Targeting compression energy in batch process
por: Gaurav Shukla, et al.
Publicado: (2021) -
Appropriate technologies for developing countries /
por: Eckaus, Richard S., 1926-
Publicado: (1977)