Computational Intelligence and Pattern Analysis in Biology Informatics
Published on 21. March 2011
372 pages
978-1-118-09780-9 (ISBN)
Description
An invaluable tool in Bioinformatics, this unique volume providesboth theoretical and experimental results, and describes basicprinciples of computational intelligence and pattern analysis whiledeepening the reader's understanding of the ways in which theseprinciples can be used for analyzing biological data in anefficient manner.
This book synthesizes current research in the integration ofcomputational intelligence and pattern analysis techniques, eitherindividually or in a hybridized manner. The purpose is to analyzebiological data and enable extraction of more meaningfulinformation and insight from it. Biological data for analysisinclude sequence data, secondary and tertiary structure data, andmicroarray data. These data types are complex and advanced methodsare required, including the use of domain-specific knowledge forreducing search space, dealing with uncertainty, partial truth andimprecision, efficient linear and/or sub-linear scalability,incremental approaches to knowledge discovery, and increased leveland intelligence of interactivity with human experts and decisionmakers
* Chapters authored by leading researchers in CI in biologyinformatics.
* Covers highly relevant topics: rational drug design; analysisof microRNAs and their involvement in human diseases.
* Supplementary material included: program code and relevant datasets correspond to chapters.
Reviews / Votes
"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)More details
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Ujjwal Maulik | Sanghamitra Bandyopadhyay | Jason T. Wang
Computational Intelligence and Pattern Analysis in Biology Informatics
Book
11/2010
Wiley
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Ujjwal Maulik | Sanghamitra Bandyopadhyay | Jason T. Wang
Computational Intelligence and Pattern Analysis in Biology Informatics
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08/2010
Wiley
€133.75
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Persons
Dr. Ujjwal Maulik is Professor of Computer Science andEngineering at Jadavpur University (India). He is the editor orauthor 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 IndianStatistical Institute. She is the editor or author of six books andcoauthor of more than 180 articles. Dr. Bandyopadhyay is a SeniorMember of IEEE and also a Humboldt Fellow.
Dr. Jason T. L. Wang?is a Professor and Director of the Data andKnowledge Engineering Lab at the New Jersey Institute ofTechnology. He is the editor or author of six books and?ExecutiveEditor of the World Scientific Book Series on Science, Engineering,and Biology Informatics.
Content
Preface.
Contributors.
PART 1 INTRODUCTION.
1 Computational Intelligence: Foundations, Perspectives, andRecent Trends (Swagatam Das, Ajith Abraham, and B. K.Panigrahi).
2 Fundamentals of Pattern Analysis: A Brief Overview (BasabiChakraborty).
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 (FrancescoMasulli, Stefano Rovetta, and Giuseppe Russo).
PART III STRUCTURE ANALYSIS.
6 Structural Search in RNA Motif Databases (Dongrong Wen andJason T. L. Wang).
7 Kernels on Protein Structures (Sourangshu Bhattacharya,Chiranjib Bhattacharyya, and Nagasuma R. Chandra).
8 Characterization of Conformational Patterns in Active andInactive Forms of Kinases using Protein Blocks Approach (G.Agarwal, D. C. Dinesh, N. Srinivasan, and Alexandre G. deBrevern).
9 Kernel Function Applications in Cheminformatics (AaronSmalter and Jun Huan).
10 In Silico Drug Design Using a ComputationalIntelligence Technique (Soumi Sengupta and SanghamitraBandyopadhyay).
PART IV MICROARRAY DATA ANALYSIS.
11 Integrated Differential Fuzzy Clustering for Analysis ofMicroarray Data (Indrajit Saha and Ujjwal Maulik).
12 Identifying Potential Gene Markers Using SVM ClassifierEnsemble (Anirban Mukhopadhyay, Ujjwal Maulik, and SanghamitraBandyopadhyay).
13 Gene Microarray Data Analysis Using Parallel PointSymmetry-Based Clustering (Ujjwal Maulik and AnasuaSarkar).
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-ProteinInteraction Networks: A Perspective Toward Systems Biology(Malay Bhattacharyya and Sanghamitra Bandyopadhyay).
Index.
