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Clustering in bioinformatics and drug discovery[electronic resource] : /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	572.80285
書名/作者:	Clustering in bioinformatics and drug discovery/ John D. MacCuish, Norah E. MacCuish.
作者:	MacCuish, John D.
其他作者:	MacCuish, Norah E.
出版者:	Boca Raton, FL : : CRC Press,, c2010.
面頁冊數:	1 online resource (214 p.) : : ill.
標題:	Bioinformatics - Mathematics.
標題:	Drug development.
標題:	Cluster analysis.
標題:	Computational biology.
標題:	Cluster Analysis.
標題:	Drug Discovery - methods.
標題:	Computational Biology.
ISBN:	9781439816790 (electronic bk.)
ISBN:	1439816794 (electronic bk.)
ISBN:	9781439816783 (hardcover : alk. paper)
ISBN:	1439816786 (hardcover : alk. paper)
書目註:	Includes bibliographical references and index.
內容註:	(Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.
摘要、提要註:	"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.
電子資源:	http://www.crcnetbase.com/isbn/978-1-4398-1678-3

Clustering in bioinformatics and drug discovery[electronic resource] : /
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:

559520
Bioinformatics
--Mathematics.Index Terms--Genre/Form:

336502
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[electronic resource] : /
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520 $a "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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650 0 $a Cluster analysis. $3 488617
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