Pattern Recognition in Bioinformatics: International Workshop信息情报学中的模式识别

This book constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2006, held in Hong Kong, China in August 2006 within the scope of ICPR 2006, the 18th International Conference on Pattern Recognition.
　　The 19 revised full papers presented together with a introduction on Pattern Recognition in Bioinformatics were carefully reviewed and selected from 43 submissions. The papers cover all topics of the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data. The papers are organized in 3 parts - the first on detection of signals, motifs, and gene structure of genomic sequences and gene selection from microarray data. The second part focuses on the prediction of different models of DNA, RNA, and amino acids to predict protein secondary structure, protein subcellular localization, RNA structure, phylogeny, and nucleosome formation and the third part deals with biological databases and images.

Pattern Recognition in Bioinformatics: An Introduction
Part 1: Signal and Motif Detection; Gene Selection
Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation
A Profile HMM for Recognition of Hormone Response Elements
Graphical Approach to Weak Motif Recognition in Noisy Data Sets
Comparative Gene Prediction Based on Gene Structure Conservation
Co mputational Identification of Short Initial Exons
Pareto-Gamma Statistic Reveals Global Rescaling in Transcriptomes of Low and High Aggressive Breast Cancer Phenotypes
Investigating the from DDP-Based Class-Specific Relevance of Predictor Sets Obtained Feature Selection Technique
A New Maximum-Relevance Criterion for Significant Gene Selection
Part 2: Models of DNA, RNA, and Protein Structures
Spectral Graph Partitioning Analysis of In Vitro Synthesized RNA Structural Folding
Predicting Secondary Structure of All-Helical Proteins Using Hidden Markov Support Vector Machines
Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine
Using Permutation Patterns for Content-Based Phylogeny
Part 3: Biological Databases and Imaging
The Immune Epitope Database and Analysis Resource
Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases
Incremental Maintenance of Biological Databases Using Association Rule Mining
Blind Separation of Multichannel Biomedical Image Patterns
Non-negative Least-Correlated Component Analysis
Image and Practal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery
Hybridization of Independent Component Analysis, Rough Sets and Multi-Objective Evolutionary Algorithms for Classificatory
Decomposition of Cortical Evoked Potentials
Author Index