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Advances in bioinformatics and its applications : proceedings of the international conference : Nova Southeastern University, Fort Lauderdale, Florida, USA, 16-19 December 2004 / editors, Matthew He, Giri Narasimhan, Sergei Petoukhov.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Conference/Event
Contributor:
He, Matthew.
Narasimhan, Giri.
Petukhov, S. V. (Sergeĭ Valentinovich)
Conference Name:
International Conference on Advances in Bioinformatics and Its Applications (2004 : Fort Lauderdale, Florida)
Series:
Series in mathematical biology and medicine ; v. 8.
Series in mathematical biology and medicine ; v. 8
Language:
English
Subjects (All):
Bioinformatics--Congresses.
Bioinformatics.
Computational biology--Congresses.
Computational biology.
Physical Description:
1 online resource (633 p.)
Place of Publication:
Hackensack, NJ : World Scientific, c2005.
Language Note:
English
Summary:
This unique volume presents major developments and trends in bioinformatics and its applications. Comprising high-quality scientific research papers and state-of-the-art survey articles, the book has been divided into five main sections: Microarray Analysis and Regulatory Networks; Machine Learning and Statistical Analysis; Biomolecular Sequence and Structure Analysis; Symmetry in Sequences; and Signal Processing, Image Processing and Visualization. The results of these investigations help the practicing biologist in many ways: in identifying unknown connections, in narrowing down possibilitie
Contents:
Foreword; CONTENTS; 1. Microarray Analysis and Regulatory Networks; Microarray Normalization using Proportional Abundance; Emerging Pattern Based Subspace Clustering of Microarray Gene Expression Data using Mixture Models; Thermodynamic Feasibility of Metabolic Networks; Computational Reconstruction of the Carbon Fixation Pathway in Synechococcus sp. WH8102; Modular Neural Networks and their Application in Exon Prediction; Gene Definition in Different Databases and its Implication in Microarray Data Interpretation
Exploring Important Issues in the Implementation of Gene Set Enrichment AnalysisQuerying A Database of Regulatory Elements; 2. Machine Learning and Statistical Analyses; Computational Epidemiology: Bayesian Disease Surveillance; Non-Equilibrium Fluctuations in a Stochastic Planktonic Model: Periodicity of Phytoplankton Bloom; Fuzzy Decoding in Profile Hidden Markov Models for Protein Family Identification; Screening Potential Allele-Frequency Disequilibrium in Data from Affymetrix Gene Expression Arrays; The Application of Self Organizing Maps for the Analyses of DNA Sequences
Gaussian Kernel Width Generation for Support Vector ClusteringSerum Proteomic Pattern Analysis for Early Cancer Detection; A Linear Solution for Haplotype Perfect Phylogeny Problem (Extended Abstract); In Silico Biology: Haplotype Inference Linkage Disequilibrium Analysis and Microarray-Based Gene Selection Techniques; The Role of Feature Redundancy in Tumor Classification; Clustering of Eukaryotic Orthologs based on Sequence and Domain Similiarities using the Markov Graph-Flow Algorithm
Rapid Drug Target Identification in Microbial Genomes - An in Silico Approach with Special Reference to -Salmonella SpeciesA Collimator Neural Network Model for the Classification of Genetic Data; Training Set Design for Pattern Discovery with Applications to Protein Motif Detection; Gene Selection by Weighted Fisher Criterion for Multiclass Prediction; Sequential Bifurcation Approach to Learning Protein Functional Classes; Identification of Contaminants in MALDI-TOF Proteomics Spectra via Data Mining
Analysis of the Effects of Recombinant Human Erythropoietin (EPO) on Murine Bone Marrow Populations using Mixture Modeling TechniquesDiscovery of Local Protein Sequence Motifs using Improved K-Means Clustering Technique; 3. Biomolecular Sequence and Structure Analysis; Predicting and Characterizing Metal-Binding Sites using Support Vector Machines; MTMM - A Matlab Toolbox for Macromolecular Modeling; Stabbing Balls and Simplifying Proteins; Step-Wise Mutations of mRNA Sequences Lead to Progressive Changes in Calculated Folding Free Energies
Aligning Sequences with Non-Affine Gap Penalty: Plains Algorithm A Practical Implementation and Its Biological Applications in Comparative Genomics
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
ISBN:
9786611898182
9781281898180
128189818X
9789812702098
9812702091

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