Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings

  • Leonardo Vanneschi
  • William S. Bush
  • Mario Giacobini
Conference proceedings EvoBIO 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7833)

Table of contents

  1. Front Matter
  2. Oral Contributions

    1. Jie Tan, Gavin D. Grant, Michael L. Whitfield, Casey S. Greene
      Pages 11-22
    2. Christian Darabos, Kinjal Desai, Richard Cowper-Sal·lari, Mario Giacobini, Britney E. Graham, Mathieu Lupien et al.
      Pages 23-34
    3. R. Michael Sivley, Alexandra E. Fish, William S. Bush
      Pages 35-42
    4. Peter A. Whigham, Grant Dick, Alden Wright, Hamish G. Spencer
      Pages 56-67
    5. David L. González-Álvarez, Miguel A. Vega-Rodríguez
      Pages 68-79
    6. Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
      Pages 104-116
  3. Poster Contributions

    1. Nandita Sharma, Tom Gedeon
      Pages 117-128
    2. Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
      Pages 141-152
    3. Davide Castaldi, Daniele Maccagnola, Daniela Mari, Francesco Archetti
      Pages 153-164
    4. Marco Gaudesi, Andrea Marion, Tommaso Musner, Giovanni Squillero, Alberto Tonda
      Pages 177-187
    5. Susanne Rosenthal, Nail El-Sourani, Markus Borschbach
      Pages 188-199
    6. Jonathan M. Fisher, Peter Andrews, Jeff Kiralis, Nicholas A. Sinnott-Armstrong, Jason H. Moore
      Pages 200-211
  4. Back Matter

About these proceedings


This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.


evolutionary algorithms genetic programming genome machine learning phenotype networks

Editors and affiliations

  • Leonardo Vanneschi
    • 1
  • William S. Bush
    • 2
  • Mario Giacobini
    • 3
  1. 1.ISEGI, Universidade Nova de LisboaLisboaPortugal
  2. 2.Center for Human Genetics Research, Department of Biomedical InformaticsVanderbilt UniversityNashvilleUSA
  3. 3.Department of Veterinary SciencesUniversity of TorinoGrugliascoItaly

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-37188-2
  • Online ISBN 978-3-642-37189-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site