Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings

✍ Scribed by Timmy Manning, Paul Walsh (auth.), Mario Giacobini, Leonardo Vanneschi, William S. Bush (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2012
• Tongue: English
• Leaves: 266
• Series: Lecture Notes in Computer Science 7246 Theoretical Computer Science and General Issues
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events.
The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.

✦ Table of Contents

Front Matter....Pages -
Automatic Task Decomposition for the NeuroEvolution of Augmenting Topologies (NEAT) Algorithm....Pages 1-12
Evolutionary Reaction Systems....Pages 13-25
Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization....Pages 26-37
Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm....Pages 38-49
Understanding Zooplankton Long Term Variability through Genetic Programming....Pages 50-61
Inferring Disease-Related Metabolite Dependencies with a Bayesian Optimization Algorithm....Pages 62-73
A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series....Pages 74-85
Tracking the Evolution of Cooperation in Complex Networked Populations....Pages 86-96
GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks....Pages 97-109
Comparing Multiobjective Artificial Bee Colony Adaptations for Discovering DNA Motifs....Pages 110-121
The Role of Mutations in Whole Genome Duplication....Pages 122-133
Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets....Pages 134-143
Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm....Pages 144-155
Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly....Pages 156-167
Feature Selection for Lung Cancer Detection Using SVM Based Recursive Feature Elimination Method....Pages 168-176
Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise....Pages 177-188
Artificial Immune Systems Perform Valuable Work When Detecting Epistasis in Human Genetic Datasets....Pages 189-200
A Biologically Informed Method for Detecting Associations with Rare Variants....Pages 201-210
Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners....Pages 211-223
Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor....Pages 224-233
A NSGA-II Algorithm for the Residue-Residue Contact Prediction....Pages 234-244
In Silico Infection of the Human Genome....Pages 245-249
Improving Phylogenetic Tree Interpretability by Means of Evolutionary Algorithms....Pages 250-253
Back Matter....Pages -

✦ Subjects

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