Book description
An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner.
This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers
Chapters authored by leading researchers in CI in biology informatics.
Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases.
Supplementary material included: program code and relevant data sets correspond to chapters.
Note: The ebook version does not provide access to the companion files.
Table of contents
- Cover
- Half Title page
- Title Page
- Copyright page
- Dedication
- Preface
- Contributors
- Part I: Introduction
- Part II: Sequence Analysis
-
Part III: Structure Analysis
- Chapter 6: Structural Search in RNA Motif Databases
- Chapter 7: Kernels on Protein Structures
-
Chapter 8: Characterization of Conformational Patterns in Active and Inactive Forms of Kinases Using Protein Blocks Approach
- 8.1 Introduction
- 8.2 Distinguishing conformational variations from rigid-body shifts in active and inactive forms of a kinase
- 8.3 Cross comparison of active and inactive forms of closely related kinases
- 8.4 Comparison of the active states of homologous kinases
- 8.5 Conclusions
- Acknowledgments
- References
- Chapter 9: Kernel Function Applications in Cheminformatics
- Chapter 10: In Silico Drug Design Using a Computational Intelligence Technique
- Part IV: Microarray Data Analysis
-
Part V: Systems Biology
-
Chapter 14: Techniques For Prioritization of Candidate Disease Genes
- 14.1 Introduction
- 14.2 Prioritization Based on Text-Mining with Reference to Phenotypes
- 14.3 Prioritization with no direct reference to phenotypes
- 14.4 Prioritization using interaction networks
- 14.5 Prioritization based on joint use of interaction network and literature-based similarity between phenotypes
- 14.6 Fusion of data from multiple sources
- 14.7 Conclusions and open problems
- 14.8 Acknowledgment
- References
- Chapter 15: Prediction of Protein–Protein Interactions
- Chapter 16: Analyzing Topological Properties of Protein–Protein Interaction Networks: A Perspective Toward Systems Biology
-
Chapter 14: Techniques For Prioritization of Candidate Disease Genes
- Index
Product information
- Title: Computational Intelligence and Pattern Analysis in Biological Informatics
- Author(s):
- Release date: November 2010
- Publisher(s): Wiley
- ISBN: 9780470581599
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