Filtering procedures for untargeted LC-MS metabolomics data

Filtering procedures for untargeted LC-MS metabolomics data

Abstract 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...

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Bibliographic Details
Main Authors: Courtney Schiffman, Lauren Petrick, Kelsi Perttula, Yukiko Yano, Henrik Carlsson, Todd Whitehead, Catherine Metayer, Josie Hayes, Stephen Rappaport, Sandrine Dudoit
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Bioinformatics
Subjects:
Metabolomics
Filtering
Preprocessing
Data-adaptive
Online Access:http://link.springer.com/article/10.1186/s12859-019-2871-9

Internet

http://link.springer.com/article/10.1186/s12859-019-2871-9

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