Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Chapter 1 A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification

Chapter 2 Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins

Chapter 3 Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA

Chapter 4 DEEPER: A Full Parsing Based Approach to Protein Relation Extraction

Chapter 5 Improving the Performance of Hierarchical Classification with Swarm Intelligence

Chapter 6 Protein Interaction Inference Using Particle Swarm Optimization Algorithm

Chapter 7 Divide, Align and Full-Search for Discovering Conserved Protein Complexes

Chapter 8 Detection of Quantitative Trait Associated Genes Using Cluster Analysis

Chapter 9 Frequent Subsplit Representation of Leaf-Labelled Trees

Chapter 10 Inference on Missing Values in Genetic Networks Using High-Throughput Data

Chapter 11 Mining Gene Expression Patterns for the Discovery of Overlapping Clusters

Chapter 12 Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases

Chapter 14 Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs

Chapter 15 Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control

Chapter 16 Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps

Chapter 17 A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing

Chapter 18 On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways