Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases.- Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments.- Inferring Human Phenotype Networks from Genome-Wide Genetic.- Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests.- Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach.- Structured Populations and the Maintenance of Sex.- Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding.- ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins.- Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification.- Supervising Random Forest Using Attribute Interaction Networks.- Hybrid Genetic Algorithms for Stress Recognition in Optimal Use of Biological Expert Knowledge from Literature.- Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease.- A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies.- Mining for Variability in the Coagulation Pathway: A Systems Biology Approach.- Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions.- An Evolutionary Approach to Wetlands Design.- Impact of Different Recombination Methods in a Mutation-SpecificMOEA for a Biochemical Application.- Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction.- Emergence of Motifs in Model Gene Regulatory Networks.