Filtering procedures for untargeted LC-MS metabolomics data

BACKGROUND: Untargeted metabolomics datasets contain large proportions of uninformative features that can impede subsequent statistical analysis such as biomarker discovery and metabolic pathway analysis. Thus, there is a need for versatile and data-adaptive methods for filtering data prior to inves...

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Detalles Bibliográficos
Autores principales: Schiffman, Courtney, Petrick, Lauren, Perttula, Kelsi, Yano, Yukiko, Carlsson, Henrik, Whitehead, Todd, Metayer, Catherine, Hayes, Josie, Rappaport, Stephen, Dudoit, Sandrine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6570933/
https://www.ncbi.nlm.nih.gov/pubmed/31200644
http://dx.doi.org/10.1186/s12859-019-2871-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6570933/
https://www.ncbi.nlm.nih.gov/pubmed/31200644
http://dx.doi.org/10.1186/s12859-019-2871-9

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