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Bioinformatics pp 379–392Cite as

Genetic Signatures for a Rodent Model of Parkinson's Disease Using Combinatorial Optimization Methods

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Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 453))

Abstract

This chapter illustrates the use of the combinatorial optimization models presented in Chapter 19 for the Feature Set selection and Gene Ordering problems to find genetic signatures for diseases using micro-array data. We demonstrate the quality of this approach by using a microarray dataset from a mouse model of Parkinson's disease. The results are accompanied by a description of the currently known molecular functions and biological processes of the genes in the signatures.

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Author information

Authors and Affiliations

  1. Newcastle Bioinformatics Initiative, School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan, New South Wales, Australia

    Mou'ath Hourani

  2. Centre of Bioinformatics, Biomarker Discovery and Information-Based Medicine, The University of Newcastle, Callaghan, New South Wales, Australia

    Regina Berretta & Alexandre Mendes

  3. ARC Centre of Excellence in Bioinformatics, and Centre of Bioinformatics, Biomarker Discovery and Information-Based Medicine, The University of Newcastle, Callaghan, New South Wales, Australia

    Pablo Moscato

Authors
  1. Mou'ath Hourani
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  2. Regina Berretta
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  3. Alexandre Mendes
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  4. Pablo Moscato
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Editor information

Editors and Affiliations

  1. School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia

    Jonathan M. Keith PhD

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© 2008 Humana Press, a part of Springer Science+Business Media, LLC

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Hourani, M., Berretta, R., Mendes, A., Moscato, P. (2008). Genetic Signatures for a Rodent Model of Parkinson's Disease Using Combinatorial Optimization Methods. In: Keith, J.M. (eds) Bioinformatics. Methods in Molecular Biology™, vol 453. Humana Press. https://doi.org/10.1007/978-1-60327-429-6_20

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  • DOI: https://doi.org/10.1007/978-1-60327-429-6_20

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60327-428-9

  • Online ISBN: 978-1-60327-429-6

  • eBook Packages: Springer Protocols

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