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Title Biological data mining and its applications in healthcare / [edited by] Xiaoli Li (A*STAR, Singapore & Nanyang Technological University, Singapore), See-Kiong Ng (A*STAR, Singapore), & Jason T.L. Wang (New Jersey Institute of Technology, USA).

Publication Info. New Jersey : World Scientific, 2013.

Item Status

Description 1 online resource
Physical Medium polychrome
Description text file
Bibliography Includes bibliographical references and index.
Contents ""Contents""; ""Preface""; ""Part I: Sequence Analysis""; ""Mining the Sequence Databases for Homology Detection: Application to Recognition of Functions of Trypanosoma brucei brucei Proteins and Drug Targets""; ""1. Introduction""; ""2. Remote homology driven approaches for protein function annotation""; ""2.1. Sequence-based approaches for remote homology detection""; ""2.1.1. Iterated searches using PSI-BLAST""; ""2.1.2. Multi-profiles approach to improve sensitivity""; ""2.1.3. Cascade PSI-BLAST""; ""2.1.4. Hidden Markov Models""; ""2.1.5. Profile-profile matching algorithms""
""2.2. Assessment of significant sequence alignments""""3. Trypanosoma brucei: A case study""; ""3.1. Overview on structural and functional domain assignments in T. brucei proteome""; ""3.2. Fold assignments""; ""3.3. Metabolic proteins in Trypanosoma brucei""; ""3.3.1. Domain composition of metabolic proteins""; ""3.3.2. Predicting drug targets based on remote homology approaches""; ""4. Conclusions""; ""Acknowledgments""; ""References""; ""Identification of Genes and their Regulatory Regions Based on Multiple Physical and Structural Properties of a DNA Sequence""; ""1. Introduction""
""2. Gene prediction methods""""2.1. Background""; ""2.2. Exon prediction based on the AR model and multifeature spectral analysis""; ""3. Regulatory region (promoter) prediction methods""; ""3.1. Background""; ""3.2. Cascade AdaBoost algorithm""; ""3.3. Hierarchical promoter prediction system based on signal, context and structural properties""; ""3.4. Prediction of eukaryotic core promoters based on Isomap and support vector machine""; ""3.5. Computational identification of disease-related genes and regulatory regions""; ""4. Summary""; ""Acknowledgement""; ""References""
""Mining Genomic Sequence Data for Related Sequences Using Pairwise Statistical Significance""""1. Introduction""; ""1.1. Biological sequence""; ""1.2. Homology and similarity""; ""1.3. Sequence alignment""; ""2. Statistical significance""; ""2.1. Why statistical significance?""; ""2.2. P-value in statistical significance""; ""2.3. Modeling statistical for local sequence alignment""; ""2.3.1. Coin-Toss model""; ""2.3.2. Assessing the statistical significance using alignment scores""; ""2.4. Gumbel extreme value distribution""; ""3. Pairwise statistical significance""
""3.1. The definition of pairwise statistical significance""""3.2. Parameters fitting of pairwise statistical significance""; ""3.3. Evaluation of pairwise statistical significance""; ""4. HPC solutions for accelerating pairwise statistical significance estimation""; ""4.1. Parallel paradigms of HPC techniques""; ""4.2. Implementations""; ""4.3. Summary""; ""Acknowledgement""; ""References""; ""Part II: Biological Network Mining""; ""Indexing for Similarity Queries on Biological Networks""; ""1. Introduction""; ""2. Preliminaries""; ""2.1. Definitions""; ""2.2. Problem Formulation""
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Medical informatics.
Medical informatics.
Bioinformatics.
Bioinformatics.
Data mining.
Data mining.
Genre/Form Electronic books.
Added Author Li, Xiao-Li, 1969- editor.
Ng, See-Kiong, editor.
Wang, Jason T. L., editor.
Other Form: Print version: Biological data mining and its applications in healthcare 9789814551007 (DLC) 2013037382 (OCoLC)855583066
ISBN 9789814551014 (electronic book)
9814551015 (electronic book)
9789814551007
9814551007