Theoretical Computer Science and General Issues

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings

Editors: Marchiori, Elena, Moore, Jason H. (Eds.)

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Table of contents (18 chapters)

Table of contents (18 chapters)
  • A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification

    Pages 1-11

    Assareh, Amin (et al.)

  • Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins

    Pages 12-23

    Basiri, Mohammad Ehsan (et al.)

  • Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA

    Pages 24-35

    Edwards, Todd L. (et al.)

  • DEEPER: A Full Parsing Based Approach to Protein Relation Extraction

    Pages 36-47

    Fayruzov, Timur (et al.)

  • Improving the Performance of Hierarchical Classification with Swarm Intelligence

    Pages 48-60

    Holden, Nicholas (et al.)

Buy this book

eBook $69.99
price for USA in USD
  • ISBN 978-3-540-78757-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $89.99
price for USA in USD
  • ISBN 978-3-540-78756-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Book Subtitle
6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings
Editors
  • Elena Marchiori
  • Jason H. Moore
Series Title
Theoretical Computer Science and General Issues
Series Volume
4973
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78757-0
DOI
10.1007/978-3-540-78757-0
Softcover ISBN
978-3-540-78756-3
Edition Number
1
Number of Pages
X, 213
Topics