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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

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

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Elena Marchiori
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  2. Jason H. Moore
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4973)

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

Included in the following conference series:

Conference proceedings info: EvoBIO 2008.

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Table of contents (18 papers)

  1. Front Matter

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  2. A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification

    • Amin Assareh, Mohammad Hassan Moradi, L. Gwenn Volkert
    Pages 1-11

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

    • Mohammad Ehsan Basiri, Nasser Ghasem-Aghaee, Mehdi Hosseinzadeh Aghdam
    Pages 12-23

  4. Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA

    • Todd L. Edwards, William S. Bush, Stephen D. Turner, Scott M. Dudek, Eric S. Torstenson, Mike Schmidt et al.
    Pages 24-35

  5. DEEPER: A Full Parsing Based Approach to Protein Relation Extraction

    • Timur Fayruzov, Martine De Cock, Chris Cornelis, Véronique Hoste
    Pages 36-47

  6. Improving the Performance of Hierarchical Classification with Swarm Intelligence

    • Nicholas Holden, Alex A. Freitas
    Pages 48-60

  7. Protein Interaction Inference Using Particle Swarm Optimization Algorithm

    • Mudassar Iqbal, Alex A. Freitas, Colin G. Johnson
    Pages 61-70

  8. Divide, Align and Full-Search for Discovering Conserved Protein Complexes

    • Pavol Jancura, Jaap Heringa, Elena Marchiori
    Pages 71-82

  9. Detection of Quantitative Trait Associated Genes Using Cluster Analysis

    • Zhenyu Jia, Sha Tang, Dan Mercola, Shizhong Xu
    Pages 83-94

  10. Frequent Subsplit Representation of Leaf-Labelled Trees

    • Jakub Koperwas, Krzysztof Walczak
    Pages 95-105

  11. Inference on Missing Values in Genetic Networks Using High-Throughput Data

    • Zdena Koukolíková-Nicola, Pietro Liò, Franco Bagnoli
    Pages 106-116

  12. Mining Gene Expression Patterns for the Discovery of Overlapping Clusters

    • Patrick C. H. Ma, Keith C. C. Chan
    Pages 117-128

  13. Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases

    • Jason H. Moore, Peter C. Andrews, Nate Barney, Bill C. White
    Pages 129-140

  14. Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization

    • Carlotta Orsenigo
    Pages 141-152

  15. Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs

    • Srinivas Pasupuleti
    Pages 153-164

  16. Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control

    • Jose M. Peña
    Pages 165-176

  17. Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps

    • Hendrik Rohn, Bashar Ibrahim, Thorsten Lenser, Thomas Hinze, Peter Dittrich
    Pages 177-187

  18. A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing

    • Axel J. Soto, Rocío L. Cecchini, Gustavo E. Vazquez, Ignacio Ponzoni
    Pages 188-199

  19. On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways

    • Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri
    Pages 200-211

  20. Back Matter

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

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