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9783540787563

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

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  • ISBN13:

    9783540787563

  • ISBN10:

    3540787569

  • Format: Paperback
  • Copyright: 2008-05-04
  • Publisher: Springer-Verlag New York Inc
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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 Classificationp. 1
Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteinsp. 12
Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLAp. 24
DEEPER: A Full Parsing Based Approach to Protein Relation Extractionp. 36
Improving the Performance of Hierarchical Classification with Swarm Intelligencep. 48
Protein Interaction Inference Using Particle Swarm Optimization Algorithmp. 61
Divide, Align and Full-Search for Discovering Conserved Protein Complexesp. 71
Detection of Quantitative Trait Associated Geues Using Cluster Analysisp. 83
Frequent Subsplit Representation of Leaf-Labelled Treesp. 95
Inference on Missing Values in Genetic Networks Using High-Throughput Datap. 106
Mining Gene Expression Patterns for the Discovery of Overlapping Clustersp. 117
Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseasesp. 129
Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimizationp. 141
Detection of Protein Complexes in Protein Interaction Networks Using n-Clubsp. 153
Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Controlp. 165
Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Stepsp. 177
A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computingp. 188
On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathwaysp. 200
Author Indexp. 213
Table of Contents provided by Blackwell. All Rights Reserved.

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