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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Clara Pizzuti

    1. Institute for High-Performance Computing and Networking (ICAR), Italian National Research Council (CNR), Rende, Italy

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  2. Marylyn D. Ritchie

    1. Department of Molecular Physiology and Biophysics, Vanderbilt University, Center for Human Genetics Research, Nashville, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Mario Giacobini

    1. Department of Animal Production Epidemiology and Ecology, University of Torino, Molecular Biotechnology Center, Grugliasco, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6023)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EvoBIO 2010.

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Table of contents (21 papers)

  1. Front Matter

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  2. Variable Genetic Operator Search for the Molecular Docking Problem

    1. Variable Genetic Operator Search for the Molecular Docking Problem

      • Salma Mesmoudi, Jorge Tavares, Laetitia Jourdan, El-Ghazali Talbi
      Pages 1-12

    2. Role of Centrality in Network-Based Prioritization of Disease Genes

      • Sinan Erten, Mehmet Koyutürk
      Pages 13-25

    3. Parallel Multi-Objective Approaches for Inferring Phylogenies

      • Waldo Cancino, Laetitia Jourdan, El-Ghazali Talbi, Alexandre C. B. Delbem
      Pages 26-37

    4. An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction

      • Camelia Chira, Dragos Horvath, Dumitru Dumitrescu
      Pages 38-49

    5. Finding Gapped Motifs by a Novel Evolutionary Algorithm

      • Chengwei Lei, Jianhua Ruan
      Pages 50-61

    6. Top-Down Induction of Phylogenetic Trees

      • Celine Vens, Eduardo Costa, Hendrik Blockeel
      Pages 62-73

    7. A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships

      • Casey S. Greene, Daniel S. Himmelstein, Jason H. Moore
      Pages 74-85

    8. Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci

      • Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie
      Pages 86-97

    9. Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions

      • Sushamna Deodhar, Alison Motsinger-Reif
      Pages 98-109

    10. Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques

      • Leonardo Vanneschi, Antonella Farinaccio, Mario Giacobini, Giancarlo Mauri, Marco Antoniotti, Paolo Provero
      Pages 110-121

    11. Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Data

      • Juan A. Nepomuceno, Alicia Troncoso, Jesús S. Aguilar–Ruiz
      Pages 122-133

    12. A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination

      • Sami Laroum, Dominique Tessier, Béatrice Duval, Jin-Kao Hao
      Pages 134-145

    13. A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins

      • Leonidas Kapsokalivas, Kathleen Steinhöfel
      Pages 146-157

    14. Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments

      • Elena Marchiori
      Pages 158-169

    15. Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models

      • Roberto Santana, Concha Bielza, Pedro Larrañaga
      Pages 170-181

  3. Posters

    1. The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics

      • Casey S. Greene, Daniel S. Himmelstein, Jeff Kiralis, Jason H. Moore
      Pages 182-193

    2. Artificial Immune Systems for Epistasis Analysis in Human Genetics

      • Nadia M. Penrod, Casey S. Greene, Delaney Granizo-MacKenzie, Jason H. Moore
      Pages 194-204

    3. Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models

      • Paulo Vilaça, Paulo Maia, Isabel Rocha, Miguel Rocha
      Pages 205-216

    4. Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study

      • Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Mahmoud Manafi, Soodabeh Safa
      Pages 217-227
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Other volumes

  1. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Keywords

Editors and Affiliations

  • Institute for High-Performance Computing and Networking (ICAR), Italian National Research Council (CNR), Rende, Italy

    Clara Pizzuti

  • Department of Molecular Physiology and Biophysics, Vanderbilt University, Center for Human Genetics Research, Nashville, USA

    Marylyn D. Ritchie

  • Department of Animal Production Epidemiology and Ecology, University of Torino, Molecular Biotechnology Center, Grugliasco, Italy

    Mario Giacobini

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