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

ISBN-13: 9783540787563 / Angielski / Miękka / 2008 / 213 str.

Marchiori, Elena

Opis

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.

Spis treści

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