Metabolomics is the relatively new field in bioinformatics that uses measurements on metabolite abundance as a tool for disease diagnosis and other medical purposes. Although closely related to proteomics, the statistical analysis is potentially simpler since biochemists have significantly more domain knowledge about metabolites. This chapter reviews the challenges that metabolomics poses in the areas of quality control, statistical metrology, and data mining. © 2012 Springer Science+Business Media, LLC.
CITATION STYLE
Korman, A., Oh, A., Raskind, A., & Banks, D. (2012). Statistical methods in metabolomics. Methods in Molecular Biology, 856, 381–413. https://doi.org/10.1007/978-1-61779-585-5_16
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