Computational Intelligence and Pattern Analysis in Biology Informatics by Ujjwal

Description: Computational Intelligence and Pattern Analysis in Biology Informatics by Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang, Yi Pan, Albert Y. Zomaya 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 readers understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher 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 readers 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. Back Cover 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 CIs 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 understandingofthe waysin 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. Flap 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 CIs 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. 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. Contributors. PART 1 INTRODUCTION. 1 Computational Intelligence: Foundations, Perspectives, and Recent Trends (Swagatam Das, Ajith Abraham, and B. K. Panigrahi). 2 Fundamentals of Pattern Analysis: A Brief Overview (Basabi Chakraborty). 3 Biological Informatics: Data, Tools, and Applications (Kevin Byron, Miguel Cervantes-Cervantes, and Jason T. L. Wang). PART II SEQUENCE ANALYSIS. 4 Promoter Recognition Using Neural Network Approaches (T. Sobha Rani, S. Durga Bhavani, and S. Bapi Raju). 5 Predicting microRNA Prostate Cancer Target Genes (Francesco Masulli, Stefano Rovetta, and Giuseppe Russo). PART III STRUCTURE ANALYSIS. 6 Structural Search in RNA Motif Databases (Dongrong Wen and Jason T. L. Wang). 7 Kernels on Protein Structures (Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and Nagasuma R. Chandra). 8 Characterization of Conformational Patterns in Active and Inactive Forms of Kinases using Protein Blocks Approach (G. Agarwal, D. C. Dinesh, N. Srinivasan, and Alexandre G. de Brevern). 9 Kernel Function Applications in Cheminformatics (Aaron Smalter and Jun Huan). 10 In Silico Drug Design Using a Computational Intelligence Technique (Soumi Sengupta and Sanghamitra Bandyopadhyay). PART IV MICROARRAY DATA ANALYSIS. 11 Integrated Differential Fuzzy Clustering for Analysis of Microarray Data (Indrajit Saha and Ujjwal Maulik). 12 Identifying Potential Gene Markers Using SVM Classifier Ensemble (Anirban Mukhopadhyay, Ujjwal Maulik, and Sanghamitra Bandyopadhyay). 13 Gene Microarray Data Analysis Using Parallel Point Symmetry-Based Clustering (Ujjwal Maulik and Anasua Sarkar). PART V SYSTEMS BIOLOGY. 14 Techniques for Prioritization of Candidate Disease Genes (Jieun Jeong and Jake Y. Chen). 15 Prediction of Protein–Protein Interactions (Angshuman Bagchi). 16 Analyzing Topological Properties of Protein–Protein Interaction Networks: A Perspective Toward Systems Biology (Malay Bhattacharyya and Sanghamitra Bandyopadhyay). Index. Review "This collection of 16 papers, edited by Maulik (computer science and engineering, Jadavpur U., India), Bandyopadhyay (Indian Statistical Institute, India), and Wang (data and knowledge engineering, New Jersey Institute of Technology, US), brings together contributions from practitioners integrating computational intelligence and pattern analysis techniques for analyzing biological data, including sequence, structure, and microarray data. The material is organized into five sections that explore basic principles and methodologies of computational techniques, applications of computational intelligence and pattern analysis for biological sequence analysis, structural analysis; microarray data analysis, and systems biology." (Reference and Research Book News, February 2011) Long Description 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 CIs 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 understandingofthe waysin 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. Review Text "This collection of 16 papers, edited by Maulik (computer science and engineering, Jadavpur U., India), Bandyopadhyay (Indian Statistical Institute, India), and Wang (data and knowledge engineering, New Jersey Institute of Technology, US), brings together contributions from practitioners integrating computational intelligence and pattern analysis techniques for analyzing biological data, including sequence, structure, and microarray data. The material is organized into five sections that explore basic principles and methodologies of computational techniques, applications of computational intelligence and pattern analysis for biological sequence analysis, structural analysis; microarray data analysis, and systems biology." ( Reference and Research Book News , February 2011) Review Quote "This collection of 16 papers, edited by Maulik (computer science and engineering, Jadavpur U., India), Bandyopadhyay (Indian Statistical Institute, India), and Wang (data and knowledge engineering, New Jersey Institute of Technology, US), brings together contributions from practitioners integrating computational intelligence and pattern analysis techniques for analyzing biological data, including sequence, structure, and microarray data. The material is organized into five sections that explore basic principles and methodologies of computational techniques, applications of computational intelligence and pattern analysis for biological sequence analysis, structural analysis; microarray data analysis, and systems biology." ( Reference and Research Book News , February 2011) Details ISBN047058159X Author Albert Y. Zomaya Series Wiley Series in Bioinformatics Year 2010 ISBN-10 047058159X ISBN-13 9780470581599 Format Hardcover Short Title COMPUTATIONAL INTELLIGENCE & P Language English Media Book Series Number 13 Birth 1968 DEWEY 570.285 Illustrations Yes Country of Publication United States UK Release Date 2010-11-12 AU Release Date 2010-11-17 NZ Release Date 2010-11-17 Pages 372 Publisher John Wiley & Sons Inc Publication Date 2010-11-12 Imprint John Wiley & Sons Inc Place of Publication New York Audience Professional & Vocational US Release Date 2010-11-12 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:33388057;

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