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Computational Intelligence Techniques for Comparative Genomics

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Cover of 'Computational Intelligence Techniques for Comparative Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Diversified Insulin-Associated Beta-Behavioral and Endogenously Triggered Exposed Symptoms (DIABETES) Model of Diabetes in India
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    Chapter 2 Automatic Teaching–Learning-Based Optimization: A Novel Clustering Method for Gene Functional Enrichments
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    Chapter 3 A Comparative Study of Methodologies of Protein Secondary Structure
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    Chapter 4 A Sparse-modeled ROI for GLAM Construction in Image Classification Problems—A Case Study of Breast Cancer
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    Chapter 5 A Survey on Identification of Protein Complexes in Protein–protein Interaction Data: Methods and Evaluation
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    Chapter 6 Modeling Artificial Life: A Cellular Automata Approach
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    Chapter 7 Identification of Deleterious SNPs in TACR1 Gene Using Genetic Algorithm
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    Chapter 8 Identification of AIDS Disease Severity Using Genetic Algorithm
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    Chapter 9 A Novel Clustering Approach Using Hadoop Distributed Environment
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    Chapter 10 Framework for Evaluation of Programming Language Examinations
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    Chapter 11 An Efficient Data Integration Framework in Cloud Using MapReduce
Attention for Chapter 4: A Sparse-modeled ROI for GLAM Construction in Image Classification Problems—A Case Study of Breast Cancer
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