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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Marchiori, Elena (Editor), Moore, Jason H. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Lecture Notes in Computer Science, 4973
• Subjects: Computer science.; Computer programming.; Computers.; Algorithms.; Artificial intelligence.; Pattern recognition.; Bioinformatics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Computation by Abstract Devices.; Algorithm Analysis and Problem Complexity.; Computational Biology/Bioinformatics.; Pattern Recognition.

Table of Contents:

• 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.