Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings

✍ Scribed by Salma Mesmoudi, Jorge Tavares, Laetitia Jourdan, El-Ghazali Talbi (auth.), Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2010
• Tongue: English
• Leaves: 258
• Series: Lecture Notes in Computer Science 6023 : Theoretical Computer Science and General Issues
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010, held in Istanbul, Turkey, in April 2010 co-located with the Evo* 2010 events. This 15 revised full papers were carefully reviewed and selected from 40 submissions. EvoBIO is the premiere European event for those interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include 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.

✦ Table of Contents

Front Matter....Pages -
Variable Genetic Operator Search for the Molecular Docking Problem....Pages 1-12
Role of Centrality in Network-Based Prioritization of Disease Genes....Pages 13-25
Parallel Multi-Objective Approaches for Inferring Phylogenies....Pages 26-37
An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction....Pages 38-49
Finding Gapped Motifs by a Novel Evolutionary Algorithm....Pages 50-61
Top-Down Induction of Phylogenetic Trees....Pages 62-73
A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships....Pages 74-85
Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci....Pages 86-97
Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions....Pages 98-109
Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques....Pages 110-121
Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Data....Pages 122-133
A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination....Pages 134-145
A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins....Pages 146-157
Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments....Pages 158-169
Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models....Pages 170-181
The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics....Pages 182-193
Artificial Immune Systems for Epistasis Analysis in Human Genetics....Pages 194-204
Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models....Pages 205-216
Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study....Pages 217-227
Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes....Pages 228-239
Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees....Pages 240-247
Back Matter....Pages -

✦ Subjects

Computational Biology/Bioinformatics; Algorithm Analysis and Problem Complexity; Database Management; Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Data Structures