Pattern recognition in bioinformatics : third IAPR international conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008 : proceedings

Table of Contents

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   Book Overview
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   Chapter 1 Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins
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   Chapter 2 A Method to Find Sequentially Separated Motifs in Biological Sequences (SSMBS)
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   Chapter 3 Predicting SUMOylation Sites
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   Chapter 4 DFS Based Partial Pathways in GA for Protein Structure Prediction
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   Chapter 5 Evaluation of the Stability of Folding Nucleus upon Mutation
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   Chapter 6 Prediction of Protein Beta-Sheets: Dynamic Programming versus Grammatical Approach
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   Chapter 7 Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types
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   Chapter 8 Extraction of Binding Sites in Proteins by Searching for Similar Local Molecular Surfaces
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    Chapter 9 A Clustering Based Hybrid System for Mass Spectrometry Data Analysis
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    Chapter 10 A Modified Markov Clustering Approach for Protein Sequence Clustering
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    Chapter 11 Feature Selection and Classification for Small Gene Sets
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    Chapter 12 Pseudoknot Identification through Learning TAGRNA
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    Chapter 13 Support Vector Based T-Score for Gene Ranking
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    Chapter 14 Prediction of Transcription Factor Families Using DNA Sequence Features
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    Chapter 15 g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines
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    Chapter 16 Domain-Domain Interaction Identification with a Feature Selection Approach
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    Chapter 17 Dividing Protein Interaction Networks by Growing Orthologous Articulations
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    Chapter 18 Constraint Minimization for Efficient Modeling of Gene Regulatory Network
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    Chapter 19 Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models
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    Chapter 20 TopEVM: Using Co-occurrence and Topology Patterns of Enzymes in Metabolic Networks to Construct Phylogenetic Trees
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    Chapter 21 Generating Synthetic Gene Regulatory Networks
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    Chapter 22 Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm
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    Chapter 23 Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem
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    Chapter 24 On Finding and Interpreting Patterns in Gene Expression Data from Time Course Experiments
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    Chapter 25 Microarray Design Using the Hilbert–Schmidt Independence Criterion
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    Chapter 26 Identifying Non-random Patterns from Gene Expression Profiles
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    Chapter 27 A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets
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    Chapter 28 Weighted Top Score Pair Method for Gene Selection and Classification
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    Chapter 29 Identifying Conserved Discriminative Motifs
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    Chapter 30 Exploratory Data Analysis for Investigating GC-MS Biomarkers
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    Chapter 31 Multi-relational Data Mining for Tetratricopeptide Repeats (TPR)-Like Superfamily Members in Leishmania spp.: Acting-by-Connecting Proteins
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    Chapter 32 Heuristic Non Parametric Collateral Missing Value Imputation: A Step Towards Robust Post-genomic Knowledge Discovery
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    Chapter 33 Protein Expression Molecular Pattern Discovery by Nonnegative Principal Component Analysis
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    Chapter 34 Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer
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    Chapter 35 Discovery of Biomarkers for Hexachlorobenzene Toxicity Using Population Based Methods on Gene Expression Data
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    Chapter 36 Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study
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    Chapter 37 Massively Parallelized DNA Motif Search on the Reconfigurable Hardware Platform COPACOBANA
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    Chapter 38 GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences
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    Chapter 39 Accelerating BLASTP on the Cell Broadband Engine