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).