{"product_id":"computational-intelligence-and-pattern-analysis-in-biology-informatics-isbn-9780470581599","title":"Computational Intelligence and Pattern Analysis in Biology Informatics","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.  \u003cp\u003eThis 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\u003c\/p\u003e \u003cul\u003e \u003cli\u003eChapters authored by leading researchers in CI in biology informatics.\u003c\/li\u003e \u003cli\u003eCovers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases.\u003c\/li\u003e \u003cli\u003eSupplementary material included: program code and relevant data sets correspond to chapters.\u003c\/li\u003e \u003c\/ul\u003e  Preface.  \u003cp\u003eContributors.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART 1 INTRODUCTION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Computational Intelligence: Foundations, Perspectives, and Recent Trends (\u003ci\u003eSwagatam Das, Ajith Abraham, and B. K. Panigrahi).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Fundamentals of Pattern Analysis: A Brief Overview (\u003ci\u003eBasabi Chakraborty\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e3 Biological Informatics: Data, Tools, and Applications (\u003ci\u003eKevin Byron, Miguel Cervantes-Cervantes, and Jason T. L. Wang\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II SEQUENCE ANALYSIS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4 Promoter Recognition Using Neural Network Approaches (\u003ci\u003eT. Sobha Rani, S. Durga Bhavani, and S. Bapi Raju\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e5 Predicting microRNA Prostate Cancer Target Genes (\u003ci\u003eFrancesco Masulli, Stefano Rovetta, and Giuseppe Russo\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART III STRUCTURE ANALYSIS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6 Structural Search in RNA Motif Databases (\u003ci\u003eDongrong Wen and Jason T. L. Wang\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e7 Kernels on Protein Structures (\u003ci\u003eSourangshu Bhattacharya, Chiranjib Bhattacharyya, and Nagasuma R. Chandra\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e8 Characterization of Conformational Patterns in Active and Inactive Forms of Kinases using Protein Blocks Approach (\u003ci\u003eG. Agarwal, D. C. Dinesh, N. Srinivasan, and Alexandre G. de Brevern\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e9 Kernel Function Applications in Cheminformatics (\u003ci\u003eAaron Smalter and Jun Huan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e10 \u003ci\u003eIn Silico\u003c\/i\u003e Drug Design Using a Computational Intelligence Technique (\u003ci\u003eSoumi Sengupta and Sanghamitra Bandyopadhyay\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV MICROARRAY DATA ANALYSIS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11 Integrated Differential Fuzzy Clustering for Analysis of Microarray Data (\u003ci\u003eIndrajit Saha and Ujjwal Maulik\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e12 Identifying Potential Gene Markers Using SVM Classifier Ensemble (\u003ci\u003eAnirban Mukhopadhyay, Ujjwal Maulik, and Sanghamitra Bandyopadhyay\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e13 Gene Microarray Data Analysis Using Parallel Point Symmetry-Based Clustering (\u003ci\u003eUjjwal Maulik and Anasua Sarkar\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART V SYSTEMS BIOLOGY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14 Techniques for Prioritization of Candidate Disease Genes (\u003ci\u003eJieun Jeong and Jake Y. Chen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e15 Prediction of Protein–Protein Interactions (\u003ci\u003eAngshuman Bagchi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e16 Analyzing Topological Properties of Protein–Protein Interaction Networks: A Perspective Toward Systems Biology (\u003ci\u003eMalay Bhattacharyya and Sanghamitra Bandyopadhyay\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e \"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.\" (\u003ci\u003eReference and Research Book News\u003c\/i\u003e, February 2011) \u003cp\u003e\u003cb\u003eDr. Ujjwal Maulik\u003c\/b\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Sanghamitra Bandyopadhyay\u003c\/b\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Jason T. L. Wang\u003c\/b\u003e 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 \u003ci\u003eWorld Scientific Book\u003c\/i\u003e Series on Science, Engineering, and Biology Informatics.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAn expert review of recent developments in CI in biological informatics\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eComputational Intelligence and Pattern Analysis in Biological Informatics\u003c\/i\u003e 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a description of some of CI's important components, fundamental concepts in pattern analysis, and different issues in biological informatics\u003c\/li\u003e \u003cli\u003eGives detailed descriptions of the different applications of computational intelligence and pattern analysis techniques to biological informatics\u003c\/li\u003e \u003cli\u003eProvides details on analysis of sequences, structures, and microarray data, as well as an examination of topics in systems biology\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePacked with theoretical and experimental results, \u003ci\u003eComputational Intelligence and Pattern Analysis in Biological Informatics\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988965703909,"sku":"NP9780470581599","price":148.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470581599.jpg?v=1761782239","url":"https:\/\/k12savings.com\/products\/computational-intelligence-and-pattern-analysis-in-biology-informatics-isbn-9780470581599","provider":"K12savings","version":"1.0","type":"link"}