Computational Intelligence and Pattern Analysis in Biology Informatics

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.