Pattern Recognition in Bioinformatics

Chapter 1 Pattern Recognition in Bioinformatics: An Introduction

Chapter 2 Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation

Chapter 3 A Profile HMM for Recognition of Hormone Response Elements

Chapter 4 Graphical Approach to Weak Motif Recognition in Noisy Data Sets

Chapter 5 Comparative Gene Prediction Based on Gene Structure Conservation

Chapter 6 Computational Identification of Short Initial Exons

Chapter 7 Pareto-Gamma Statistic Reveals Global Rescaling in Transcriptomes of Low and High Aggressive Breast Cancer Phenotypes

Chapter 8 Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique

Chapter 9 A New Maximum-Relevance Criterion for Significant Gene Selection

Chapter 10 Spectral Graph Partitioning Analysis of In Vitro Synthesized RNA Structural Folding

Chapter 11 Predicting Secondary Structure of All-Helical Proteins Using Hidden Markov Support Vector Machines

Chapter 12 Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine

Chapter 13 Using Permutation Patterns for Content-Based Phylogeny

Chapter 14 The Immune Epitope Database and Analysis Resource

Chapter 15 Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases

Chapter 16 Incremental Maintenance of Biological Databases Using Association Rule Mining

Chapter 17 Blind Separation of Multichannel Biomedical Image Patterns by Non-negative Least-Correlated Component Analysis

Chapter 18 Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery

Chapter 19 Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials