Pattern Recognition in Bioinformatics : Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings / edited by Madhu Chetty, Alioune Ngom, Shandar Ahmad.

Format:

Book

Contributor:

Chetty, Madhu, editor.

Ngom, Alioune (Ph. D.), editor.

Ahmad, Shandar, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in bioinformatics ; 5265.

Lecture Notes in Bioinformatics ; 5265

Language:

English

Subjects (All):

Life sciences.

Medicine.

Data mining.

Bioinformatics.

Pattern perception.

Artificial intelligence.

Life Sciences, general.

Medicine/Public Health, general.

Data Mining and Knowledge Discovery.

Computational Biology/Bioinformatics.

Pattern Recognition.

Artificial Intelligence.

Local Subjects:

Life Sciences, general.

Medicine/Public Health, general.

Data Mining and Knowledge Discovery.

Computational Biology/Bioinformatics.

Pattern Recognition.

Artificial Intelligence.

Physical Description:

1 online resource (XVI, 472 pages).

Edition:

First edition 2008.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.

System Details:

text file PDF

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.

Contents:

Protein: Structure, Function, and Interaction

Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins

A Method to Find Sequentially Separated Motifs in Biological Sequences (SSMBS)

Predicting SUMOylation Sites

DFS Based Partial Pathways in GA for Protein Structure Prediction

Evaluation of the Stability of Folding Nucleus upon Mutation

Prediction of Protein Beta-Sheets: Dynamic Programming versus Grammatical Approach

Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types

Extraction of Binding Sites in Proteins by Searching for Similar Local Molecular Surfaces

Learning, Classification, and Clustering

A Clustering Based Hybrid System for Mass Spectrometry Data Analysis

A Modified Markov Clustering Approach for Protein Sequence Clustering

Feature Selection and Classification for Small Gene Sets

Pseudoknot Identification through Learning TAGRNA

Support Vector Based T-Score for Gene Ranking

Prediction of Transcription Factor Families Using DNA Sequence Features

g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines

Bio-Molecular Networks and Pathways Analysis

Domain-Domain Interaction Identification with a Feature Selection Approach

Dividing Protein Interaction Networks by Growing Orthologous Articulations

Constraint Minimization for Efficient Modeling of Gene Regulatory Network

Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models

TopEVM: Using Co-occurrence and Topology Patterns of Enzymes in Metabolic Networks to Construct Phylogenetic Trees

Generating Synthetic Gene Regulatory Networks

Microarray and Gene Expression Analysis

Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm

Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem

On Finding and Interpreting Patterns in Gene Expression Data from Time Course Experiments

Microarray Design Using the Hilbert-Schmidt Independence Criterion

Identifying Non-random Patterns from Gene Expression Profiles

A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets

Weighted Top Score Pair Method for Gene Selection and Classification

Data Mining and Knowledge Discovery

Identifying Conserved Discriminative Motifs

Exploratory Data Analysis for Investigating GC-MS Biomarkers

Multi-relational Data Mining for Tetratricopeptide Repeats (TPR)-Like Superfamily Members in Leishmania spp.: Acting-by-Connecting Proteins

Heuristic Non Parametric Collateral Missing Value Imputation: A Step Towards Robust Post-genomic Knowledge Discovery

Protein Expression Molecular Pattern Discovery by Nonnegative Principal Component Analysis

Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer

Discovery of Biomarkers for Hexachlorobenzene Toxicity Using Population Based Methods on Gene Expression Data

Applications of High Performance Computing

Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study

Massively Parallelized DNA Motif Search on the Reconfigurable Hardware Platform COPACOBANA

GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences

Accelerating BLASTP on the Cell Broadband Engine.

Other Format:

Printed edition:

ISBN:

978-3-540-88436-1

9783540884361

Access Restriction:

Restricted for use by site license.