Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics: 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007. Proceedings

✍ Scribed by Claudia Angelini, Luisa Cutillo (auth.), Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2007
• Tongue: English
• Leaves: 311
• Series: Lecture Notes in Computer Science 4447 : Theoretical Computer Science and General Issues
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain in April 2007, colocated with the Evo* 2007 events.

The 28 revised full papers were carefully reviewed and selected from 60 submissions. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues, along with a wide variety of papers dealing with different applications areas, 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, as well as systems biology.

✦ Table of Contents

Front Matter....Pages -
Identifying Regulatory Sites Using Neighborhood Species....Pages 1-10
Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD 50 ) and Plasma Protein Binding Levels (%PPB) of Drugs....Pages 11-23
Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction....Pages 24-34
Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data....Pages 35-46
One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification....Pages 47-56
Understanding Signal Sequences with Machine Learning....Pages 57-67
Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization....Pages 68-77
Modeling Genetic Networks: Comparison of Static and Dynamic Models....Pages 78-89
A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data....Pages 90-101
Modeling the Shoot Apical Meristem in A. thaliana : Parameter Estimation for Spatial Pattern Formation....Pages 102-113
Evolutionary Search for Improved Path Diagrams....Pages 114-121
Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment....Pages 122-131
Towards Evolutionary Network Reconstruction Tools for Systems Biology....Pages 132-142
A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites....Pages 143-154
Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks....Pages 155-165
Tuning ReliefF for Genome-Wide Genetic Analysis....Pages 166-175
Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms....Pages 176-186
Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines....Pages 187-196
Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines....Pages 197-206
Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives....Pages 207-216
Virtual Error: A New Measure for Evolutionary Biclustering....Pages 217-226
Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters....Pages 227-235
Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes....Pages 236-246
The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms....Pages 247-257
Classification of Cell Fates with Support Vector Machine Learning....Pages 258-269
Reconstructing Linear Gene Regulatory Networks....Pages 270-279
Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment....Pages 280-290
Substitution Matrix Optimisation for Peptide Classification....Pages 291-300
Back Matter....Pages -

✦ Subjects

Programming Techniques; Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Computational Biology/Bioinformatics; Pattern Recognition; Artificial Intelligence (incl. Robotics)