Computational Intelligence and Pattern Analysis in Biology Informatics.
Title:
Computational Intelligence and Pattern Analysis in Biology Informatics.
Author:
Maulik, Ujjwal.
ISBN:
9780470872345
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (395 pages)
Series:
Wiley Series in Bioinformatics ; v.20
Wiley Series in Bioinformatics
Contents:
COMPUTATIONAL INTELLIGENCE AND PATTERN ANALYSIS IN BIOLOGICAL INFORMATICS -- CONTENTS -- Preface -- Contributors -- PART I INTRODUCTION -- 1 Computational Intelligence: Foundations, Perspectives, and Recent Trends -- 2 Fundamentals of Pattern Analysis: A Brief Overview -- 3 Biological Informatics: Data, Tools, and Applications -- PART II SEQUENCE ANALYSIS -- 4 Promoter Recognition Using Neural Network Approaches -- 5 Predicting microRNA Prostate Cancer Target Genes -- PART III STRUCTURE ANALYSIS -- 6 Structural Search in RNA Motif Databases -- 7 Kernels on Protein Structures -- 8 Characterization of Conformational Patterns in Active and Inactive Forms of Kinases using Protein Blocks Approach -- 9 Kernel Function Applications in Cheminformatics -- 10 In Silico Drug Design Using a Computational Intelligence Technique -- PART IV MICROARRAY DATA ANALYSIS -- 11 Integrated Differential Fuzzy Clustering for Analysis of Microarray Data -- 12 Identifying Potential Gene Markers Using SVM Classifier Ensemble -- 13 Gene Microarray Data Analysis Using Parallel Point Symmetry-Based Clustering -- PART V SYSTEMS BIOLOGY -- 14 Techniques for Prioritization of Candidate Disease Genes -- 15 Prediction of Protein-Protein Interactions -- 16 Analyzing Topological Properties of Protein-Protein Interaction Networks: A Perspective Toward Systems Biology -- Index -- Wiley Series on Bioinformatics: Computational Techniques and Engineering.
Abstract:
An expert review of recent developments in CI in biological informatics In the field of biological informatics, new methods of data collection that gather huge amounts of data and produce new data types have spurred advanced methods of searching for useful regularities or patterns in these data sets. Of these methods, computational intelligence has found particular favor among researchers. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques. Computational Intelligence and Pattern Analysis in Biological Informatics brings together research articles by active practitioners, reporting recent advances in integrating computational intelligence and pattern analysis techniques for analyzing biological data in order to extract more meaningful information and insights from them. It covers highly relevant topics, including rational drug design and the involvement of microRNAs in human diseases. The book: Presents a description of some of CI's important components, fundamental concepts in pattern analysis, and different issues in biological informatics Gives detailed descriptions of the different applications of computational intelligence and pattern analysis techniques to biological informatics Provides details on analysis of sequences, structures, and microarray data, as well as an examination of topics in systems biology Packed with theoretical and experimental results, Computational Intelligence and Pattern Analysis in Biological Informatics deepens the understanding?of?the ways?in which the basic principles of computational intelligence and pattern analysis can be used for analyzing biological data in an efficient manner. Graduate students and researchers in computer science, bioinformatics, computational and molecular biology, biochemistry, systems science, and
information technology will find this unique volume a valuable tool.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
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