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Towards the Enhancement of Gene Selection Performance

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Computational Intelligence in Bioinformatics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 94))

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Summary

In a microarray dataset, the expression profiles of a large amount of genes are recorded. Identifying the influential genes from these genes is one of main research topics of bioinformatics and has drawn many attentions. In this chapter, we briefly overview the existing gene selection approaches and summarize the main challenges of gene selection. After that, we detail the strategies to address these challenges. Also, using a typical gene selection model as example, we show the implementation of these strategies and evaluate their contributions.

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Author information

Authors and Affiliations

  1. Department of Electric Engineering, City University of Hong Kong, Hong Kong

    D. Huang & Tommy W. S. Chow

Authors
  1. D. Huang
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  2. Tommy W. S. Chow
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Editor information

Editors and Affiliations

  1. Department of Neurology Buffalo Neuroimaging Analysis Center The Jacobs Neurological Institute University at Buffalo, The State University of New York, 100 High Street, Buffalo, NY, 14203, USA

    Arpad Kelemen

  2. Centre for Quantifiable Quality of Service in Communication Systems (Q2S), Centre of Excellence Norwegian University of Science and Technology, O.S. Bragstads plass 2E, N-7491, Trondheim, Norway

    Ajith Abraham

  3. School of Information Science and Engineering, Jinan University, Jiwei Road 106, Jinan, 250022, P.R. China

    Yuehui Chen

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© 2008 Springer-Verlag Berlin Heidelberg

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Huang, D., Chow, T.W.S. (2008). Towards the Enhancement of Gene Selection Performance. In: Kelemen, A., Abraham, A., Chen, Y. (eds) Computational Intelligence in Bioinformatics. Studies in Computational Intelligence, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76803-6_9

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  • DOI: https://doi.org/10.1007/978-3-540-76803-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76802-9

  • Online ISBN: 978-3-540-76803-6

  • eBook Packages: EngineeringEngineering (R0)

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