Pattern Recognition in Bioinformatics: Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 2008 Proceedings

by Chetty, Madhu

• ISBN13: 9783540884347
• ISBN10: 3540884343
• Edition: 1st
• Format: Paperback
• Copyright: 2008-11-01
• Publisher: SPRINGER

Summary

This book constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2008, held in Melbourne, Australia, in October 2008.The 39 revised full papers presented were carefully reviewed and selected from 121 submissions. The papers discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in life sciences. The papers are organized in 6 topical parts on protein: structure, function and interaction; learning, classification and clustering; bio-molecular networks and pathways analysis; microarray and gene expression analysis; data mining and knowledge discovery; applications of high performance computing.

Table of Contents

Protein: Structure, Function, and Interaction
Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins	p. 1
A Method to Find Sequentially Separated Motifsin Biological Sequences (SSMBS)	p. 13
Predicting SUMOylation Sites	p. 28
DFS Based Partial Pathways in GA for Protein Structure Prediction	p. 41
Evaluation of the Stability of Folding Nucleus upon Mutation	p. 54
Prediction of Protein Beta-Sheets: Dynamic Programming Versus Grammatical Approach	p. 66
Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types	p. 78
Extraction of Binding Sites in Proteins by Searching for Similar Local Molecular Surfaces	p. 87
Learning, Classification, and Clustering
A Clustering Based Hybrid System for Mass Spectrometry Data Analysis	p. 98
A Modified Markov Clustering Approach for Protein Sequence Clustering	p. 110
Feature Selection and Classification for Small Gene Sets	p. 121
Pseudoknot Identification through Learning TAG[subscript RNA]	p. 132
Support Vector Based T-Score for Gene Ranking	p. 144
Prediction of Transcription Factor Families Using DNA Sequence Features	p. 154
g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines	p. 165
Bio-Molecular Networks and Pathways Analysis
Domain-Domain Interaction Identification with a Feature Selection Approach	p. 178
Dividing Protein Interaction Networks by Growing Orthologous Articulations	p. 187
Constraint Minimization for Efficient Modeling of Gene Regulatory Network	p. 201
Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models	p. 214
TopEVM: Using Co-occurrence and Topology Patterns of Enzymes in Metabolic Networks to Construct Phylogenetic Trees	p. 225
Generating Synthetic Gene Regulatory Networks	p. 237
Microarray and Gene Expression Analysis
Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm	p. 250
Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem	p. 262
On Finding and Interpreting Patterns in Gene Expression Data from Time Course Experiments	p. 276
Microarray Design Using the Hilbert-Schmidt Independence Criterion	p. 288
Identifying Non-random Patterns from Gene Expression Profiles	p. 299
A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets	p. 311
Weighted Top Score Pair Method for Gene Selection and Classification	p. 323
Data Mining and Knowledge Discovery
Identifying Conserved Discriminative Motifs	p. 334
Exploratory Data Analysis for Investigating GC-MS Biomarkers	p. 349
Multi-relational Data Mining for Tetratricopeptide Repeats (TPR)-Like Superfamily Members in Leishmania spp.: Acting-by-Connecting Proteins	p. 359
Heuristic Non Parametric Collateral Missing Value Imputation: A Step Towards Robust Post-Genomic Knowledge Discovery	p. 373
Protein Expression Molecular Pattern Discovery by Nonnegative Principal Component Analysis	p. 388
Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer	p. 400
Discovery of Biomarkers for Hexachlorobenzene Toxicity Using Population Based Methods on Gene Expression Data	p. 412
Applications of High Performance Computing
Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study	p. 424
Massively Parallelized DNA Motif Search on the Reconfigurable Hardware Platform COPACOBANA	p. 436
GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences	p. 448
Accelerating BLASTP on the Cell Broadband Engine	p. 460
Author Index	p. 471
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