Ebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

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This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

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This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.
Content:
Front Matter....Pages -
Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases....Pages 1-10
Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments....Pages 11-22
Inferring Human Phenotype Networks from Genome-Wide Genetic Associations....Pages 23-34
Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests....Pages 35-42
Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach....Pages 43-55
Structured Populations and the Maintenance of Sex....Pages 56-67
Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding....Pages 68-79
ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins....Pages 80-91
Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification....Pages 92-103
Supervising Random Forest Using Attribute Interaction Networks....Pages 104-116
Hybrid Genetic Algorithms for Stress Recognition in Reading....Pages 117-128
Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease....Pages 129-140
A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies....Pages 141-152
Mining for Variability in the Coagulation Pathway: A Systems Biology Approach....Pages 153-164
Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions....Pages 165-176
An Evolutionary Approach to Wetlands Design....Pages 177-187
Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application....Pages 188-199
Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction....Pages 200-211
Emergence of Motifs in Model Gene Regulatory Networks....Pages 212-215
Back Matter....Pages -

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This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.
Content:
Front Matter....Pages -
Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases....Pages 1-10
Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments....Pages 11-22
Inferring Human Phenotype Networks from Genome-Wide Genetic Associations....Pages 23-34
Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests....Pages 35-42
Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach....Pages 43-55
Structured Populations and the Maintenance of Sex....Pages 56-67
Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding....Pages 68-79
ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins....Pages 80-91
Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification....Pages 92-103
Supervising Random Forest Using Attribute Interaction Networks....Pages 104-116
Hybrid Genetic Algorithms for Stress Recognition in Reading....Pages 117-128
Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease....Pages 129-140
A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies....Pages 141-152
Mining for Variability in the Coagulation Pathway: A Systems Biology Approach....Pages 153-164
Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions....Pages 165-176
An Evolutionary Approach to Wetlands Design....Pages 177-187
Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application....Pages 188-199
Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction....Pages 200-211
Emergence of Motifs in Model Gene Regulatory Networks....Pages 212-215
Back Matter....Pages -
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