Computational Intelligence and Pattern Analysis in Biology Informatics

by Maulik, Ujjwal; Bandyopadhyay, Sanghamitra; Wang, Jason T.

• ISBN13: 9780470581599
• ISBN10: 047058159X
• Edition: 1st
• Format: Hardcover
• Copyright: 2010-11-30
• Publisher: Wiley

Summary

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.

Author Biography

Dr. Ujjwal Maulik is Professor of Computer Science and Engineering at Jadavpur University (India). He is the editor or author of five books and coauthor of more than 150 articles. Dr. Maulik is a Senior Member of IEEE and also a Humboldt Fellow. Dr. Sanghamitra Bandyopadhyay is Professor at the Indian Statistical Institute. She is the editor or author of six books and coauthor of more than 180 articles. Dr. Bandyopadhyay is a Senior Member of IEEE and also a Humboldt Fellow. Dr. Jason T. L. Wang is a Professor and Director of the Data and Knowledge Engineering Lab at the New Jersey Institute of Technology. He is the editor or author of six books and Executive Editor of the World Scientific Book Series on Science, Engineering, and Biology Informatics.

Table of Contents

Preface	p. xi
Contributors	p. xvii
Introduction
Computational Intelligence: Foundations, Perspectives, and Recent Trends	p. 3
Fundamentals of Pattern Analysis: A Brief Overview	p. 39
Biological Informatics: Data, Tools, and Applications	p. 59
Sequence Analysis
Promoter Recognition Using Neural Network Approaches	p. 73
Predicting microRNA Prostate Cancer Target Genes	p. 99
Structure Analysis
Structural Search in RNA Motif Databases	p. 119
Kernels on Protein Structures	p. 131
Characterization of Conformational Patterns in Active and Inactive Forms of Kinases using Protein Blocks Approach	p. 169
Kernel Function Applications in Cheminformatics	p. 189
In Silico Drug Design Using a Computational Intelligence Technique	p. 237
Microarray Data Analysis
Integrated Differential Fuzzy Clustering for Analysis of Microarray Data	p. 259
Identifying Potential Gene Markers Using SVM Classifier Ensemble	p. 277
Gene Microarray Data Analysis Using Parallel Point Symmetry-Based Clustering	p. 293
Systems Biology
Techniques for Prioritization of Candidate Disease Genes	p. 309
Prediction of Protein-Protein Interactions	p. 325
Analyzing Topological Properties of Protein-Protein Interaction Networks: A Perspective Toward Systems Biology	p. 349
Index	p. 369
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