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  • Book
  • © 2008

Computational Intelligence in Bioinformatics

  • Reports recent research results on computational intelligence in bioinformatics
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (13 chapters)

  1. Front Matter

    Pages I-XVI
  2. Computational Intelligence Algorithms and DNA Microarrays

    • D. K. Tasoulis, V. P. Plagianakos, M. N. Vrahatis
    Pages 1-31
  3. Inferring Gene Regulatory Networks from Expression Data

    • Lars Kaderali, Nicole Radde
    Pages 33-74
  4. Belief Networks for Bioinformatics

    • Jeroen H. H. L. M. Donkers, Karl Tuyls
    Pages 75-111
  5. Swarm Intelligence Algorithms in Bioinformatics

    • Swagatam Das, Ajith Abraham, Amit Konar
    Pages 113-147
  6. Tree-Based Algorithms for Protein Classification

    • Róbert Busa-Fekete, András Kocsor, Sándor Pongor
    Pages 165-182
  7. Fuzzy Classification for Gene Expression Data Analysis

    • Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota
    Pages 209-218
  8. Towards the Enhancement of Gene Selection Performance

    • D. Huang, Tommy W. S. Chow
    Pages 219-236
  9. Multivariate Regression Applied to Gene Expression Dynamics

    • Olli Haavisto, Heikki Hyötyniemi
    Pages 257-275
  10. The Amine System Project: Systems Biology in Practice

    • Ismael Navas-Delgado, Raúl Montañez, Miguel Ángel Medina, José Luis Urdiales, José F. Aldana, Francisca Sánchez-Jiménez
    Pages 277-292
  11. DNA Encoding Methods in the Field of DNA Computing

    • Aili Han, Daming Zhu
    Pages 293-322
  12. Back Matter

    Pages 323-326

About this book

Bioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. Major research efforts in the field include sequence analysis, gene finding, genome annotation, protein structure alignment analysis and prediction, prediction of gene expression, protein-protein docking/interactions, and the modeling of evolution.

This book deals with the application of computational intelligence in bioinformatics. Addressing the various issues of bioinformatics using different computational intelligence approaches is the novelty of this edited volume.

Editors and Affiliations

  • Department of Neurology Buffalo Neuroimaging Analysis Center The Jacobs Neurological Institute University at Buffalo, The State University of New York, Buffalo, USA

    Arpad Kelemen

  • Centre for Quantifiable Quality of Service in Communication Systems (Q2S), Centre of Excellence Norwegian University of Science and Technology, Trondheim, Norway

    Ajith Abraham

  • School of Information Science and Engineering, Jinan University, Jinan, P.R. China

    Yuehui Chen

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access