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Statistical Analysis of Metabolomics Data

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Metabolomics Tools for Natural Product Discovery

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1055))

Abstract

Statistical matters form an integral part of a metabolomics experiment. In this chapter we describe several important aspects in the analysis of metabolomics data such as the removal of unwanted variation and the identification of differentially abundant metabolites, along with a number of other essential statistical considerations.

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Author information

Authors and Affiliations

  1. Metabolomics Australia, Bio21 Institute (Molecular Science and Biotechnology Institute), The University of Melbourne, Melbourne, Australia

    Alysha M. De Livera

  2. Bioinformatics Division, Walter and Eliza Hall Institute, Parkville, VIC, Australia

    Moshe Olshansky & Terence P. Speed

Authors
  1. Alysha M. De Livera
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  2. Moshe Olshansky
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  3. Terence P. Speed
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Editor information

Editors and Affiliations

  1. Parkville, Australia

    Ute Roessner

  2. School of Botany, The University of Melbourne, Parkville, Victoria, Australia

    Daniel Anthony Dias

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De Livera, A.M., Olshansky, M., Speed, T.P. (2013). Statistical Analysis of Metabolomics Data. In: Roessner, U., Dias, D. (eds) Metabolomics Tools for Natural Product Discovery. Methods in Molecular Biology, vol 1055. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-577-4_20

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  • DOI: https://doi.org/10.1007/978-1-62703-577-4_20

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-576-7

  • Online ISBN: 978-1-62703-577-4

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