Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings

  • Mario Giacobini
  • Leonardo Vanneschi
  • William S. Bush

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7246)

Table of contents

  1. Front Matter
  2. Oral Contributions

    1. Luca Manzoni, Mauro Castelli, Leonardo Vanneschi
      Pages 13-25
    2. Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore
      Pages 38-49
    3. Holger Franken, Alexander Seitz, Rainer Lehmann, Hans-Ulrich Häring, Norbert Stefan, Andreas Zell
      Pages 62-73
    4. Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini
      Pages 74-85
    5. Flávio L. Pinheiro, Francisco C. Santos, Jorge M. Pacheco
      Pages 86-96
    6. Leonardo Vanneschi, Matteo Mondini, Martino Bertoni, Alberto Ronchi, Mattia Stefano
      Pages 97-109
    7. David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido, Juan M. Sánchez-Pérez
      Pages 110-121
    8. Qinxin Pan, Christian Darabos, Jason H. Moore
      Pages 122-133
    9. Emily R. Holzinger, Scott M. Dudek, Alex T. Frase, Brooke Fridley, Prabhakar Chalise, Marylyn D. Ritchie
      Pages 134-143
    10. Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido, Juan M. Sánchez-Pérez
      Pages 144-155
    11. Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez-Chamorro, Roberto Ruiz, Cosme E. Santiesteban-Toca
      Pages 156-167
  3. Poster Contributions

    1. Alexander V. Spirov, Nina E. Golyandina, David M. Holloway, Theodore Alexandrov, Ekaterina N. Spirova, Francisco J. P. Lopes
      Pages 177-188
    2. Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric S. Torstenson, Sarah A. Pendergrass, Marylyn D. Ritchie
      Pages 201-210
    3. Cosme E. Santiesteban-Toca, Gualberto Asencio-Cortés, Alfonso E. Márquez-Chamorro, Jesús S. Aguilar-Ruiz
      Pages 224-233
    4. Alfonso E. Márquez-Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, Gualberto Asencio-Cortés, Cosme E. Santiesteban-Toca
      Pages 234-244
  4. Abstract Contributions

    1. W. B. Langdon, M. J. Arno
      Pages 245-249
    2. Francesco Cerutti, Luigi Bertolotti, Tony L. Goldberg, Mario Giacobini
      Pages 250-253
  5. Back Matter

About these proceedings


This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events.
The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.


artificial immune system evolutionary algorithm genetic programming neural networks swarm intelligence

Editors and affiliations

  • Mario Giacobini
    • 1
  • Leonardo Vanneschi
    • 2
  • William S. Bush
    • 3
  1. 1.Department of Animal Production Epidemiology and EcologyUniversity of TorinoGrugliascoItaly
  2. 2.Universidade Nove de Lisboa, ISEGI, 1070-312 Lisboa, Portugal and University of Milano-Bicocca, D.I.S.Co., Viale Sarca 336, 20126 MilanItaly
  3. 3.Center for Human Genetics Research, Department of Biomedical InformaticsVanderbilt UniversityNashvilleUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-29065-7
  • Online ISBN 978-3-642-29066-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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