Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics

5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007. Proceedings

Editors:

ISBN: 978-3-540-71782-9 (Print) 978-3-540-71783-6 (Online)

Table of contents (28 chapters)

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  1. Front Matter

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    Pages 1-10

    Identifying Regulatory Sites Using Neighborhood Species

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    Pages 11-23

    Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs

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    Pages 24-34

    Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction

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    Pages 35-46

    Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data

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    Pages 47-56

    One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification

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    Pages 57-67

    Understanding Signal Sequences with Machine Learning

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    Pages 68-77

    Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization

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    Pages 78-89

    Modeling Genetic Networks: Comparison of Static and Dynamic Models

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    Pages 90-101

    A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data

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    Pages 102-113

    Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation

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    Pages 114-121

    Evolutionary Search for Improved Path Diagrams

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    Pages 122-131

    Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment

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    Pages 132-142

    Towards Evolutionary Network Reconstruction Tools for Systems Biology

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    Pages 143-154

    A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites

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    Pages 155-165

    Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks

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    Pages 166-175

    Tuning ReliefF for Genome-Wide Genetic Analysis

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    Pages 176-186

    Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms

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    Pages 187-196

    Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines

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    Pages 197-206

    Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines

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    Pages 207-216

    Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives

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