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Statistical Methods in Metabolomics

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Evolutionary Genomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 856))

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Statistical Science, Duke University, Durham, NC, USA

    Alexander Korman, Amy Oh & David Banks

  2. Department of Pathology, University of Michigan, Ann Arbor, MI, USA

    Alexander Raskind

Authors
  1. Alexander Korman
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  2. Amy Oh
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  3. Alexander Raskind
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  4. David Banks
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Corresponding author

Correspondence to David Banks .

Editor information

Editors and Affiliations

  1. Department of Computer Science, ETH Zürich, Universitätsstr. 6, Zürich, 8092, Switzerland

    Maria Anisimova

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Korman, A., Oh, A., Raskind, A., Banks, D. (2012). Statistical Methods in Metabolomics. In: Anisimova, M. (eds) Evolutionary Genomics. Methods in Molecular Biology, vol 856. Humana Press. https://doi.org/10.1007/978-1-61779-585-5_16

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  • DOI: https://doi.org/10.1007/978-1-61779-585-5_16

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-584-8

  • Online ISBN: 978-1-61779-585-5

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