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Combining Metabonomics and Other -omics Data

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Metabonomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1277))

Abstract

Combining molecular profiling data from multiple -omics platforms has the potential to provide a more comprehensive characterization of the biological system as well as improved prediction models for diagnostic applications compared to information derived from a single molecular profiling platform. In this chapter we outline analysis strategies for characterization of the genetic drivers of metabolism, joint pathway analysis in metabonomic and transcriptomic data and how metabonomic, and other -omics data can be combined to improve prediction models.

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Acknowledgments

M. R. acknowledges funding received from Karolinska Institutet.

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Authors and Affiliations

  1. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 281, Stockholm, SE-171 77, Sweden

    Mattias Rantalainen

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  1. Mattias Rantalainen
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Correspondence to Mattias Rantalainen .

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Editors and Affiliations

  1. Department of Gastroenterology, Medical Section, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark

    Jacob T. Bjerrum

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Rantalainen, M. (2015). Combining Metabonomics and Other -omics Data. In: Bjerrum, J. (eds) Metabonomics. Methods in Molecular Biology, vol 1277. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2377-9_12

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  • DOI: https://doi.org/10.1007/978-1-4939-2377-9_12

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-2376-2

  • Online ISBN: 978-1-4939-2377-9

  • eBook Packages: Springer Protocols

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