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Computational Intelligence Algorithms and DNA Microarrays

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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 this chapter, we present Computational Intelligence algorithms, such as Neural Network algorithms, Evolutionary Algorithms, and clustering algorithms and their application to DNA microarray experimental data analysis. Additionally, dimension reduction techniques are evaluated. Our aim is to study and compare various Computational Intelligence approaches and demonstrate their applicability as well as their weaknesses and shortcomings to efficient DNA microarray data analysis.

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Author information

Authors and Affiliations

  1. Institute for Mathematical Sciences, Imperial College London, South Kensington, London, SW7 2PG, UK

    D. K. Tasoulis

  2. Computational Intelligence Laboratory, Department of Mathematics, University of Patras Artificial Intelligence Research Center (UPAIRC), University of Patras, GR-26110, Patras, Greece

    V. P. Plagianakos & M. N. Vrahatis

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  1. D. K. Tasoulis
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  2. V. P. Plagianakos
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  3. M. N. Vrahatis
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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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Tasoulis, D.K., Plagianakos, V.P., Vrahatis, M.N. (2008). Computational Intelligence Algorithms and DNA Microarrays. 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_1

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  • DOI: https://doi.org/10.1007/978-3-540-76803-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76802-9

  • Online ISBN: 978-3-540-76803-6

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