Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 7th European Conference, EvoBIO 2009 Tübingen, Germany, April 15-17, 2009 Proceedings

✍ Scribed by Zhenyu Jia, Yipeng Wang, Kai Ye, Qilan Li (auth.), Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2009
• Tongue: English
• Leaves: 213
• Series: Lecture Notes in Computer Science 5483 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 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events.

The 17 revised full papers were carefully reviewed and selected from 44 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

Front Matter....Pages -
Association Study between Gene Expression and Multiple Relevant Phenotypes with Cluster Analysis....Pages 1-12
Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae ....Pages 13-24
Chronic Rat Toxicity Prediction of Chemical Compounds Using Kernel Machines....Pages 25-36
Simulating Evolution of Drosophila Melanogaster Ebony Mutants Using a Genetic Algorithm....Pages 37-43
Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform....Pages 44-55
F-score with Pareto Front Analysis for Multiclass Gene Selection....Pages 56-67
A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms....Pages 68-79
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks....Pages 80-91
Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease....Pages 92-103
On the Efficiency of Local Search Methods for the Molecular Docking Problem....Pages 104-115
A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems....Pages 116-127
Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets....Pages 128-139
Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective....Pages 140-151
Clustering Metagenome Short Reads Using Weighted Proteins....Pages 152-163
A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony....Pages 164-175
Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm....Pages 176-190
Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification....Pages 191-202
Back Matter....Pages -

✦ Subjects

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