Computational Intelligence and Pattern Analysis in Biology Informatics

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.

"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)

• 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.