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Bioinformatics Using Computational Intelligence Paradigms

  • Book
  • © 2005

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Editors:
  1. Udo Seiffert
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  2. Lakhmi C. Jain
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  3. Patric Schweizer
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  • Contains recent theoretical approaches and guiding applications of biologically inspired information processing systems (Computational Intelligence) against the background of bioinformatics
  • Combines two fast growing fields of research: Bioinformatics and Computational Intelligence
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 176)

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Table of contents (9 chapters)

  1. Front Matter

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  2. Medical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning

    • Ralf Hofestädt, Thoralf Töpel
    Pages 1-23

  3. Prototype Based Recognition of Splice Sites

    • Barbara Hammer, Marc Strickert, Thomas Villmann
    Pages 25-55

  4. Content Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks

    • Udo Seiffert
    Pages 57-73

  5. Discriminative Clustering of Yeast Stress Response

    • Samuel Kaski, Janne Nikkilä, Eerika Savia, Christophe Roos
    Pages 75-91

  6. A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle

    • Florence d’Alché-Buc, Pierre-Jean Lahaye, Bruno-Edouard Perrin, Liva Ralaivola, Todor Vujasinovic, Aurélien Mazurie et al.
    Pages 93-117

  7. Class Prediction with Microarray Datasets

    • Simon Rogers, Richard D. Williams, Colin Campbell
    Pages 119-141

  8. Random Voronoi Ensembles for Gene Selection in DNA Microarray Data

    • Francesco Masulli, Stefano Rovetta
    Pages 143-166

  9. Cancer Classification with Microarray Data Using Support Vector Machines

    • Feng Chu, Lipo Wang
    Pages 167-189

  10. Artificial Neural Networks for Reducing the Dimensionality of Gene Expression Data

    • Ajit Narayanan, Alan Cheung, Jonas Gamalielsson, Ed Keedwell, Christophe Vercellone
    Pages 191-211
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About this book

Bioinformatics and 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 promising cross-fertilization and interdisciplinary work between these growing fields.

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