8. Statistical Data Analysis in Metabolomics

  1. Michael P. H. Stumpf3,
  2. David J. Balding4 and
  3. Mark Girolami5
  1. Timothy M. D. Ebbels1 and
  2. Maria De Iorio2

Published Online: 12 SEP 2011

DOI: 10.1002/9781119970606.ch8

Handbook of Statistical Systems Biology

Handbook of Statistical Systems Biology

How to Cite

Ebbels, T. M. D. and De Iorio, M. (2011) Statistical Data Analysis in Metabolomics, in Handbook of Statistical Systems Biology (eds M. P. H. Stumpf, D. J. Balding and M. Girolami), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119970606.ch8

Editor Information

  1. 3

    Division of Molecular Biosciences, Imperial College London, UK

  2. 4

    Institute of Genetics, University College London, UK

  3. 5

    Department of Statistical Science, University College London, UK

Author Information

  1. 1

    Biomolecular Medicine, Department of Surgery and Cancer, Imperial College, London, UK

  2. 2

    Department of Epidemiology and Biostatistics, Imperial College, St Mary's Campus, Norfolk Place, London, UK

Publication History

  1. Published Online: 12 SEP 2011
  2. Published Print: 21 OCT 2011

ISBN Information

Print ISBN: 9780470710869

Online ISBN: 9781119970606

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Keywords:

  • statistical data analysis;
  • metabonomics;
  • untargeted approach;
  • NMR spectroscopy;
  • peak quantification alternatives;
  • metabolic profiling;
  • unsupervised methods;
  • metabolome-wide association studies (MWAS)

Summary

This chapter contains sections titled:

  • Introduction

  • Analytical technologies and data characteristics

  • Statistical analysis

  • Conclusions

  • Acknowledgements

  • References