Data Mining in Bioinformatics / Edition 1

by Jason T. L. Wang, Mohammed J. Zaki, Hannu Toivonen, Dennis Shasha

Overview

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
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