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Clustering in bioinformatics and drug discovery

Record Type:	Electronic resources : monographic
Author:	MacCuishJohn D.,
Alternative Intellectual Responsibility:	MacCuishNorah E.,
Place of Publication:	Boca Raton, FL
Published:	CRC Press;
Year of Publication:	c2010
Description:	1 online resource (214 p.)ill. :
Series:	Chapman & Hall/CRC mathematical and computational biology series
Subject:	Bioinformatics - Mathematics -
Subject:	Drug development -
Subject:	Cluster analysis -
Subject:	Computational biology -
Subject:	Cluster Analysis -
Subject:	Drug Discovery - methods -
Subject:	Computational Biology -
Subject:	Electronic books -
Online resource:	http://www.crcnetbase.com/isbn/978-1-4398-1678-3
Notes:	Description based on print version record
Summary:	"This book presents an introduction to cluster analysis and algorithms in the context of drug discovery clustering applications. It provides the key to understanding applications in clustering large combinatorial libraries (in the millions of compounds) for compound acquisition, HTS results, 3D lead hopping, gene expression for toxicity studies, and protein reaction data. Bringing together common and emerging methods, the text covers topics peculiar to drug discovery data, such as asymmetric measures and asymmetric clustering algorithms as well as clustering ambiguity and its relation to fuzzy clustering and overlapping clustering algorithms"--Provided by publisher
ISBN:	9781439816790electronic bk.
ISBN:	1439816794electronic bk.
ISBN:	9781439816783hardcover : alk. paper
ISBN:	1439816786hardcover : alk. paper

Clustering in bioinformatics and drug discovery
MacCuish, John D.

Clustering in bioinformatics and drug discovery / John D. MacCuish, Norah E. MacCuish - Boca Raton, FL : CRC Press, c2010. - 1 online resource (214 p.) ; ill.. - (Chapman & Hall/CRC mathematical and computational biology series).
Description based on print version record.
Includes bibliographical references and index.
ISBN 9781439816790ISBN 1439816794ISBN 9781439816783ISBN 1439816786
BioinformaticsDrug developmentCluster analysisComputational biologyCluster AnalysisDrug DiscoveryComputational BiologyElectronic books -- Mathematics -- methods

MacCuish, Norah E.

Clustering in bioinformatics and drug discovery
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