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Soft Computing for Biological Systems

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Cover of 'Soft Computing for Biological Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Current Scenario on Application of Computational Tools in Biological Systems
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    Chapter 2 Diagnostic Prediction Based on Gene Expression Profiles and Artificial Neural Networks
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    Chapter 3 Soft Computing Approaches to Extract Biologically Significant Gene Network Modules
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    Chapter 4 A Hybridization of Artificial Bee Colony with Swarming Approach of Bacterial Foraging Optimization for Multiple Sequence Alignment
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    Chapter 5 Construction of Gene Networks Using Expression Profiles
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    Chapter 6 Bioinformatics Tools for Shotgun Metagenomic Data Analysis
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    Chapter 7 Protein-protein Interactions: Basics, Characteristics, and Predictions
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    Chapter 8 Machine Learning Framework: Predicting Protein Structural Features
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    Chapter 9 Drug Transporters as Therapeutic Targets: Computational Models, Challenges, and Future Perspective
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    Chapter 10 Module-Based Knowledge Discovery for Multiple-Cytosine-Variant Methylation Profile
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    Chapter 11 Outlook of Various Soft Computing Data Preprocessing Techniques to Study the Pest Population Dynamics in Integrated Pest Management
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    Chapter 12 Genomics for Oral Cancer Biomarker Research
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    Chapter 13 Soft Computing Methods and Tools for Bacteria DNA Barcoding Data Analysis
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    Chapter 14 Fish DNA Barcoding: A Comprehensive Survey of Bioinformatics Tools and Databases
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    Chapter 15 Microbes and Mountains: The Mid-Domain Effect on Mt. Fuji, Japan
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    Chapter 16 Integration of Soft Computing Approach in Plant Biology and Its Applications in Agriculture
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    Chapter 17 Future Perspectives of Computational Biology: Demanding Shifts in Analytical Thinking to Unfold Biological Complexities
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