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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:BMC Bioinformatics
Päätekijät: Schiffman, Courtney, Petrick, Lauren, Perttula, Kelsi, Yano, Yukiko, Carlsson, Henrik, Whitehead, Todd, Metayer, Catherine, Hayes, Josie, Rappaport, Stephen, Dudoit, Sandrine
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2019
Aiheet:
Methodology Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6570933/
https://ncbi.nlm.nih.gov/pubmed/31200644
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2871-9
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