Pattern Recognition in Bioinformatics: International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings

Author:   Jagath C. Rajapakse ,  Limsoon Wong ,  Raj Acharya
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2006 ed.
Volume:   4146
ISBN:  

9783540374466


Pages:   186
Publication Date:   10 August 2006
Format:   Paperback
Availability:   In Print   Availability explained
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Pattern Recognition in Bioinformatics: International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings


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Overview

The field of bioinformatics has two main objectives: the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specific patterns of a given dataset, which have some relevance to an important biological phenomenon or another dataset. To date, many pattern recognition algorithms have been applied or catered to address a wide range of bioinformatics problems. The 2006 Workshop of Bioinformatics in Pattern Recognition (PRIB 2006) marks the beginning of a series of workshops that is aimed at gathering researchers applying pattern recognition algorithms in an attempt to resolve problems in computational biology and bioinformatics. This volume presentsthe proceedings of Workshop PRIB 2006 held in Hong Kong, China, on August 20, 2006. It includes 19 technical contributions that were selected by the Program Committee from 43 submissions. We give a brief introduction to pattern recognition in bioinformatics in the first paper. The rest of the volume consists of three parts. Part 1: signal and motif detection, and gene selection. Part 2: models of DNA, RNA, and protein structures. Part 3: biological databases and imaging.

Full Product Details

Author:   Jagath C. Rajapakse ,  Limsoon Wong ,  Raj Acharya
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2006 ed.
Volume:   4146
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783540374466


ISBN 10:   3540374469
Pages:   186
Publication Date:   10 August 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Pattern Recognition in Bioinformatics: An Introduction.- Pattern Recognition in Bioinformatics: An Introduction.- 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.- Computational Identification of Short Initial Exons.- Pareto-Gamma Statistic Reveals Global Rescaling in Transcriptomes of Low and High Aggressive Breast Cancer Phenotypes.- Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique.- A New Maximum-Relevance Criterion for Significant Gene Selection.- 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.- 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 by Non-negative Least-Correlated Component Analysis.- Image and Fractal 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.

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