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Data Mining and Bioinformatics: First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers / Edition 1
     

Data Mining and Bioinformatics: First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers / Edition 1

by Mehmet M Dalkilic, Sun Kim, Jiong Yang
 

ISBN-10: 3540689702

ISBN-13: 9783540689706

Pub. Date: 02/13/2007

Publisher: Springer Berlin Heidelberg

This book constitutes the thoroughly refereed post-proceedings of the First VLDB 2006 International Workshop on Data Mining and Bioinformatics, VDMB 2006, held in Seoul, Korea in September 2006 in conjunction with VLDB 2006. The 15 revised full papers cover various topics in the areas of microarray data analysis, bioinformatics system and text retrieval,

Overview

This book constitutes the thoroughly refereed post-proceedings of the First VLDB 2006 International Workshop on Data Mining and Bioinformatics, VDMB 2006, held in Seoul, Korea in September 2006 in conjunction with VLDB 2006. The 15 revised full papers cover various topics in the areas of microarray data analysis, bioinformatics system and text retrieval, application of gene expression data, and sequence analysis.

Product Details

ISBN-13:
9783540689706
Publisher:
Springer Berlin Heidelberg
Publication date:
02/13/2007
Series:
Lecture Notes in Computer Science / Lecture Notes in Bioinformatics Series , #4316
Edition description:
2006
Pages:
198
Product dimensions:
0.45(w) x 6.14(h) x 9.21(d)

Table of Contents

Bioinformatics at Microsoft Research.- A Novel Approach for Effective Learning of Cluster Structures with Biological Data Applications.- Subspace Clustering of Microarray Data Based on Domain Transformation.- Bayesian Hierarchical Models for Serial Analysis of Gene Expression.- Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray Data.- A Biological Text Retrieval System Based on Background Knowledge and User Feedback.- Automatic Annotation of Protein Functional Class from Sparse and Imbalanced Data Sets.- Bioinformatics Data Source Integration Based on Semantic Relationships Across Species.- An Efficient Storage Model for the SBML Documents Using Object Databases.- Identification of Phenotype-Defining Gene Signatures Using the Gene-Pair Matrix Based Clustering.- TP+Close: Mining Frequent Closed Patterns in Gene Expression Datasets.- Exploring Essential Attributes for Detecting MicroRNA Precursors from Background Sequences.- A Gene Structure Prediction Program Using Duration HMM.- An Approximate de Bruijn Graph Approach to Multiple Local Alignment and Motif Discovery in Protein Sequences.- Discovering Consensus Patterns in Biological Databases.- Comparison of Modularization Methods in Application to Different Biological Networks.

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