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Clustering in bioinformatics and drug discovery / John D. MacCuish, Norah E. MacCuish.

By: MacCuish, John D
Contributor(s): MacCuish, Norah E
Material type: TextTextSeries: Chapman & Hall/CRC mathematical and computational biology seriesPublisher: Boca Raton, FL : CRC Press, c2011Description: 214 p. : ill. ; 25 cm. + 1 DVD (4 3/4 in.)ISBN: 9781439816783 (hardcover : alk. paper); 1439816786 (hardcover : alk. paper)Subject(s): Bioinformatics -- Mathematics | Drug development | Cluster analysis | Computational biology | Cluster Analysis | Drug Discovery -- methods | Computational BiologyDDC classification: 572.80285 LOC classification: QH324.2 | .M33 2011
Contents:
(Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.
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.
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Item type Current location Call number Status Notes Date due Barcode
Compact Disk Compact Disk Centeral Library
Second Floor - Biotechnology
572.80285 M.j.C 2011 (Browse shelf) Available 68 BIO 900050034
Compact Disk Compact Disk Centeral Library
Second Floor - Biotechnology
572.80285 M.j.C 2011 (Browse shelf) Available 67 BIO 900050046
Books Books Centeral Library
Second Floor - Biotechnology
572.80285 M.j.C 2011 (Browse shelf) Available 17778

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.

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