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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

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Cover of 'Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Task Decomposition for the NeuroEvolution of Augmenting Topologies (NEAT) Algorithm
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    Chapter 2 Evolutionary Reaction Systems
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    Chapter 3 Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization
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    Chapter 4 Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm
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    Chapter 5 Understanding Zooplankton Long Term Variability through Genetic Programming
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    Chapter 6 Inferring Disease-Related Metabolite Dependencies with a Bayesian Optimization Algorithm
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    Chapter 7 A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series
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    Chapter 8 Tracking the Evolution of Cooperation in Complex Networked Populations
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    Chapter 9 GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks
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    Chapter 10 Comparing Multiobjective Artificial Bee Colony Adaptations for Discovering DNA Motifs
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    Chapter 11 The Role of Mutations in Whole Genome Duplication
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    Chapter 12 Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets
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    Chapter 13 Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm
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    Chapter 14 Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly
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    Chapter 15 Feature Selection for Lung Cancer Detection Using SVM Based Recursive Feature Elimination Method
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    Chapter 16 Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise
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    Chapter 17 Artificial Immune Systems Perform Valuable Work When Detecting Epistasis in Human Genetic Datasets
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    Chapter 18 A Biologically Informed Method for Detecting Associations with Rare Variants
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    Chapter 19 Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners
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    Chapter 20 Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor
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    Chapter 21 A NSGA-II Algorithm for the Residue-Residue Contact Prediction
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    Chapter 22 In Silico Infection of the Human Genome
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    Chapter 23 Improving Phylogenetic Tree Interpretability by Means of Evolutionary Algorithms
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