Evolutionary computation, machine learning and data mining in bioinformatics

InhaltsverzeichnisA 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.