Pacific Symposium on Biocomputing 2005: Hawaii, USA, 4-8 January 2005

Front Cover
World Scientific, 2005 - Medical - 564 pages
The Pacific Symposium on Biocomputing (PSB 2005) is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. This latest volume in the prestigious conference series contains the contributions of top researchers from the US, the Asia-Pacific region and around the world. Sections are devoted to databases, algorithms, interfaces, visualization, modeling and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The book is an essential source of ideas, discoveries and references for academics in biocomputing, bioinformatics researchers and computer scientists.
 

Contents

Preface
1
An Adaptive Dynamic Programming Algorithm for the Side
16
Exploring Protein Folding Trajectories Using Geometric Spanners
40
Coarse and Reliable Geometric Alignment for Protein Docking
64
Ontology Driven Dynamic Linking of Biology Resources
79
Phenomic Knowledge Discovery via Structured Terminology
103
Predicting GO Associations from Protein Domain
127
GO Molecular Function Terms Are Predictive of Subcellular Localization
151
Threshold Gradient Descent Method for Censored Data Regression
272
Exploratory Visual Analysis of Pharmacogenomic Results
296
Study of Effect of Drug Lexicons on Medication Extraction from
308
Algorithms for Structural Comparison and Statistical Analysis of
334
TwoStage MultiClass Support Vector Machines to Protein Secondary
346
Representing StructureFunction Relationships in Mechanistically
358
Discovering SequenceStructure Motifs from Protein Segments and
370
INFERRING SNP FUNCTION USING EVOLUTIONARY
382

Implications of Compositionality in the Gene Ontology for Its
174
A Flexible Measure of Contextual Similarity for Biomedical Terms
197
Understanding the Global Properties of FunctionallyRelated Gene
209
MultiAspect Gene Relation Analysis
233
Identification of Genomic Signatures for the Design of Assays
248
Improving Functional Annotation of NonSynonomous SNPs with
397
A Bayesian Framework for SNP Identification
421
JOINT LEARNING FROM MULTIPLE TYPES
445
Joint Learning of Dynamic
459
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