Table of contents

  1. Front Matter
  2. Barbara Hammer, Marc Strickert, Thomas Villmann
    Pages 25-55
  3. Samuel Kaski, Janne Nikkilä, Eerika Savia, Christophe Roos
    Pages 75-91
  4. Florence d’Alché-Buc, Pierre-Jean Lahaye, Bruno-Edouard Perrin, Liva Ralaivola, Todor Vujasinovic, Aurélien Mazurie et al.
    Pages 93-117
  5. Simon Rogers, Richard D. Williams, Colin Campbell
    Pages 119-141
  6. Francesco Masulli, Stefano Rovetta
    Pages 143-166
  7. Ajit Narayanan, Alan Cheung, Jonas Gamalielsson, Ed Keedwell, Christophe Vercellone
    Pages 191-211

About this book


Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical approaches and guiding applications of biologically inspired information processing systems(Computational Intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of Bioinformatics and Computational Intelligence and offers a promising cross-fertilisation and interdisciplinary work between these growing fields.


Biologically Inspired Information Systems Case-Based Reasoning Computational Biology Computational Intelligence Ensembl Microarray Soft Computing bioinformatics classification cognition information processing intelligence model

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin/Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-22901-8
  • Online ISBN 978-3-540-32361-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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