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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011, Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Clara Pizzuti

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

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  2. Marylyn D. Ritchie

    1. Center for Human Genetics Research, Vanderbilt University, Nashville, USA

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  3. Mario Giacobini

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

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  • Fast track conference proceedings Unique visibility State of the art research

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6623)

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

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Conference proceedings info: EvoBIO 2011.

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About this book

This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2011, held in Torino, Italy, in April 2011 co-located with the Evo* 2011 events. The 12 revised full papers presented together with 7 poster papers were carefully reviewed and selected from numerous submissions. All papers included topics of interest such as biomarker discovery, cell simulation and modeling, ecological modeling, fluxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, and systems biology.

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Table of contents (19 papers)

  1. Front Matter

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  2. Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions

    1. Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions

      • Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
      Pages 1-12

    2. A New Evolutionary Gene Regulatory Network Reverse Engineering Tool

      • Antonella Farinaccio, Leonardo Vanneschi, Paolo Provero, Giancarlo Mauri, Mario Giacobini
      Pages 13-24

    3. ML-Consensus: A General Consensus Model for Variable-Length Transcription Factor Binding Sites

      • Saad Quader, Nathan Snyder, Kevin Su, Ericka Mochan, Chun-Hsi Huang
      Pages 25-36

    4. Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network

      • Jianlong Qi, Tom Michoel, Gregory Butler
      Pages 37-47

    5. ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models

      • Emily R. Holzinger, Scott M. Dudek, Eric C. Torstenson, Marylyn D. Ritchie
      Pages 48-58

    6. Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism

      • Christian Darabos, Ferdinando Di Cunto, Marco Tomassini, Jason H. Moore, Paolo Provero, Mario Giacobini
      Pages 59-68

    7. A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction

      • Gualberto Asencio Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro
      Pages 69-76

    8. Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins

      • Eva Sciacca, Salvatore Spinella, Dino Ienco, Paola Giannini
      Pages 77-88

    9. Finding Motifs in DNA Sequences Applying a Multiobjective Artificial Bee Colony (MOABC) Algorithm

      • David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido, Juan M. Sánchez-Pérez
      Pages 89-100

    10. An Evolutionary Approach for Protein Contact Map Prediction

      • Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio Cortés
      Pages 101-110

    11. Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segments

      • Sami Laroum, Béatrice Duval, Dominique Tessier, Jin-Kao Hao
      Pages 111-122

    12. Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis

      • Georg Hinselmann, Andreas Jahn, Nikolas Fechner, Lars Rosenbaum, Andreas Zell
      Pages 123-134

  3. Posters

    1. Experimental Approach for Bacterial Strains Characterization

      • Fabien Chhel, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion, Gilles Hunault, Tristan Boureau
      Pages 135-140

    2. Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage?

      • Luca Ferreri, Ezio Venturino, Mario Giacobini
      Pages 141-146

    3. Genetic Algorithm Optimization of Force Field Parameters: Application to a Coarse-Grained Model of RNA

      • Filip Leonarski, Fabio Trovato, Valentina Tozzini, Joanna Trylska
      Pages 147-152

    4. A Decision Tree-Based Method for Protein Contact Map Prediction

      • Cosme Ernesto Santiesteban Toca, Alfonso E. Márquez Chamorro, Gualberto Asencio Cortés, Jesus S. Aguilar-Ruiz
      Pages 153-158

    5. A Comparison of Machine Learning Methods for the Prediction of Breast Cancer

      • Sara Silva, Orlando Anunciação, Marco Lotz
      Pages 159-170

    6. An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers

      • Paolo Atzeni, Fabio Polticelli, Daniele Toti
      Pages 171-176

    7. Protein Complex Discovery from Protein Interaction Network with High False-Positive Rate

      • Yunku Yeu, Jaegyoon Ahn, Youngmi Yoon, Sanghyun Park
      Pages 177-182
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Other volumes

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

Editors and Affiliations

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

    Clara Pizzuti

  • Center for Human Genetics Research, Vanderbilt University, Nashville, USA

    Marylyn D. Ritchie

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

    Mario Giacobini

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