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Clustering in bioinformatics and dru...
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MacCuish, Norah E.
Clustering in bioinformatics and drug discovery
Record Type:
Electronic resources : Monograph/item
Title/Author:
Clustering in bioinformatics and drug discovery/ John D. MacCuish, Norah E. MacCuish.
Author:
MacCuish, John D.
other author:
MacCuish, Norah E.
Published:
Boca Raton, FL :CRC Press, : c2010.,
Description:
1 online resource (214 p.) :ill. :
Subject:
Cluster Analysis. -
Online resource:
http://www.crcnetbase.com/isbn/978-1-4398-1678-3
ISBN:
9781439816790 (electronic bk.)
Clustering in bioinformatics and drug discovery
MacCuish, John D.
Clustering in bioinformatics and drug discovery
[electronic resource] : /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. - Chapman & Hall/CRC mathematical and computational biology series (Unnumbered).
Includes bibliographical references and index.
(Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.
"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: 9781439816790 (electronic bk.)Subjects--Topical Terms:
270038
Cluster Analysis.
Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: QH324.2 / .M33 2010
Dewey Class. No.: 572.80285
National Library of Medicine Call No.: 2011 A-824
Clustering in bioinformatics and drug discovery
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Clustering in bioinformatics and drug discovery
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[electronic resource] : /
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John D. MacCuish, Norah E. MacCuish.
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c2010.
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CRC Press,
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1 online resource (214 p.) :
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ill.
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Chapman & Hall/CRC mathematical and computational biology series
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Includes bibliographical references and index.
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(Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.
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"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.
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http://www.crcnetbase.com/isbn/978-1-4398-1678-3
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