Table of Contents

Part I: Introduction.
Computational Intelligence: Foundations, perspectives, and recent trends / Swagatam Das, Ajith Abraham, and B. K. Panigrahi.
Fundamentals of Pattern Analysis: a brief overview / Basabi Chakraborty.
Biological Informatics: Data, Tools and Applications / Kevin Byron, Miguel Cervantes-Cervantes and Jason T. L. Wang.
Part II: Sequence Analysis.
Promoter recognition using neural network approaches / T. Sobha Rani, S. Durga Bhavani and S. Bapi Raju.
Predicting micro RNA Prostate Cancer Target Genes / F. Masulli, S. Rovetta and G. Russo.
Part III: Structure Analysis.
Structural search in RNA Motif Databases / Dongrong Wen and Jason T. L. Wang.
Kernels on Protein Structures / Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Nagasuma R. Chandra.
Characterization of conformational patterns in active and inactive forms of kinases using protein blocks approach / Garima Agarwal, Dhurvas Chandrasekaran Dinesh, Narayanaswamy Srinivasan, Alexandre G. de Brevern.
Kernel function applications in cheminformatics / Aaron Smalter and Jun Huan.
In-Silico Drug Design Using a Computational Intelligence Technique / Soumi Sengupta, S. Bandyopadhyay.
Part IV: Microarray Data Analysis.
Inegrated differential fuzzy clustering for analysis of microarray data / Indrajit Saha and Ujjwal Maulik.
Identifying potential gene markers using SVM classifier ensemble / Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay.
Gene microarray data aanalysis using parallel point symmetry-based clustering / Ujjwal Maulik and Anasua Sarker.
Part V: Systems Biology.
Techniques for prioritization of candidate disease genes / Jieun Jeong and Jake Y. Chen.
Prediction of Protein Protein Interactions / Angshuman Bagchi.
Analyzing Topological Properties of Protein-protein Interaction Networks: A Perspective Towards Systems Biology / Malay Bhattacharyya and Sanghamitra Bandyopadhyay. 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. 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.
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. 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.