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 bi
Computational Intelligence and Pattern Analysis in Biological Informatics
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β¦ Synopsis
Content:
Chapter 1 Computational Intelligence: Foundations, Perspectives, and Recent Trends (pages 1β37): Swagatam Das, Ajith Abraham and B. K. Panigrahi
Chapter 2 Fundamentals of Pattern Analysis: A Brief Overview (pages 39β58): Basabi Chakraborty
Chapter 3 Biological Informatics: Data, Tools, and Applications (pages 59β69): Kevin Byron, Miguel Cervantes?Cervantes and Jason T. L. Wang
Chapter 4 Promoter Recognition Using Neural Network Approaches (pages 71β97): T. Sobha Rani, S. Durga Bhavani and S. Bapi Raju
Chapter 5 Predicting microRNA Prostate Cancer Target Genes (pages 99β115): Francesco Masulli, Stefano Rovetta and Giuseppe Russo
Chapter 6 Structural Search in RNA Motif Databases (pages 117β130): Dongrong Wen and Jason T. L. Wang
Chapter 7 Kernels on Protein Structures (pages 131β167): Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Nagasuma R. Chandra
Chapter 8 Characterization of Conformational Patterns in Active and Inactive Forms of Kinases Using Protein Blocks Approach (pages 169β187): G. Agarwal, D. C. Dinesh, N. Srinivasan and Alexandre G. de Brevern
Chapter 9 Kernel Function Applications in Cheminformatics (pages 189β235): Aaron Smalter and Jun Huan
Chapter 10 In Silico Drug Design Using a Computational Intelligence Technique (pages 237β256): Soumi Sengupta and Sanghamitra Bandyopadhyay
Chapter 11 Integrated Differential Fuzzy Clustering for Analysis of Microarray Data (pages 257β276): Indrajit Saha and Ujjwal Maulik
Chapter 12 Identifying Potential Gene Markers Using SVM Classifier Ensemble (pages 277β291): Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay
Chapter 13 Gene Microarray Data Analysis Using Parallel Point Symmetry?Based Clustering (pages 293β306): Ujjwal Maulik and Anasua Sarkar
Chapter 14 Techniques for Prioritization of Candidate Disease Genes (pages 307β324): Jieun Jeong and Jake Y. Chen
Chapter 15 Prediction of ProteinβProtein Interactions (pages 325β347): Angshuman Bagchi
Chapter 16 Analyzing Topological Properties of ProteinβProtein Interaction Networks: A Perspective toward Systems Biology (pages 349β368): Malay Bhattacharyya and Sanghamitra Bandyopadhyay
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