Statistical Analysis of Metabolomics Data

  • Alysha M. De Livera
  • Moshe Olshansky
  • Terence P. Speed
Part of the Methods in Molecular Biology book series (MIMB, volume 1055)


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.


Metabolomics Data Abundant Metabolite Metabolomics Experiment Unwanted Variation Bayesian Principal Component Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  • Alysha M. De Livera
    • 1
  • Moshe Olshansky
    • 2
  • Terence P. Speed
    • 2
  1. 1.Metabolomics Australia, Bio21 Institute (Molecular Science and Biotechnology Institute)The University of MelbourneMelbourneAustralia
  2. 2.Bioinformatics DivisionWalter and Eliza Hall InstituteParkvilleAustralia

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