Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 6th European Conference, Evobio 2008, Naples, Italy, March 26-28, 2008, Proceedings

by Marchiori, Elena; Moore, Jason H.

• ISBN13: 9783540787563
• ISBN10: 3540787569
• Format: Paperback
• Copyright: 2008-05-04
• Publisher: Springer-Verlag New York Inc

Summary

This book constitutes the refereed proceedings of the 6th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2008, held in Naples, Italy, in March 2008 colocated with the Evo* 2008 events.The 18 revised full papers were carefully reviewed and selected from 63 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all 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, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.

Table of Contents

A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification	p. 1
Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins	p. 12
Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA	p. 24
DEEPER: A Full Parsing Based Approach to Protein Relation Extraction	p. 36
Improving the Performance of Hierarchical Classification with Swarm Intelligence	p. 48
Protein Interaction Inference Using Particle Swarm Optimization Algorithm	p. 61
Divide, Align and Full-Search for Discovering Conserved Protein Complexes	p. 71
Detection of Quantitative Trait Associated Geues Using Cluster Analysis	p. 83
Frequent Subsplit Representation of Leaf-Labelled Trees	p. 95
Inference on Missing Values in Genetic Networks Using High-Throughput Data	p. 106
Mining Gene Expression Patterns for the Discovery of Overlapping Clusters	p. 117
Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases	p. 129
Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization	p. 141
Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs	p. 153
Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control	p. 165
Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps	p. 177
A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing	p. 188
On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways	p. 200
Author Index	p. 213
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