Pub. Date:
Springer London
Data Mining in Bioinformatics / Edition 1

Data Mining in Bioinformatics / Edition 1


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Data Mining in Bioinformatics / Edition 1

Written especially for computer scientists, all necessary biology is explained.

Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.

Product Details

ISBN-13: 9781849968942
Publisher: Springer London
Publication date: 12/09/2010
Series: Advanced Information and Knowledge Processing Series
Edition description: Softcover reprint of hardcover 1st ed. 2005
Pages: 340
Product dimensions: 6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Part I - Overview An Introduction to Data Mining in Bioinformatics A Survey of Bio-Data Analysis from Data Mining Perspective Part II - Sequence and Structure Alignment ANTICLUSTRAL: Multiple Sequence Alignment by Antipole Clustering RNA Structyre Comparison and Alignment Part III - Biological Data Mining Piecewise Constant Modeling of Sequential Data using Reversible Jump Markov Chain Monte Carlo Gene Mapping by Pattern Discovery Prediciting Protein Folding Pathways Data Mining Methods for a Systematics of Protein Subcellular Location Mining Chemical Compounds Part IV - Biological Data Managment Phyloinformatics: Towards a Phylogenetic Database Declarative and Efficinet Querying on Protein Secondary Sturctures Scalable Index Structures for Biological Data Glossary References Biographies Index

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