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Clustering in bioinformatics and drug discovery /

by MacCuish, John D.
Authors: MacCuish, Norah E.%joint author Series: ChChapman & Hall/CRC mathemtional biology serieatical and computa Published by : Taylor & Francis, (Boca Raton, FL :) Physical details: 214p. : ill. ; 25 cm + ISBN: 1439816786 Subject(s): Bioinformatics %Mathematics. | Drug development. | Cluster Analysis. | Computational Biology %methods. | Cluster Analysis. | Drug Discovery %methods. Year: 2011
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Item type Location Call Number Status Date Due
Book Book AUM Main Library 572.80285 M33 (Browse Shelf) Available
Book Book AUM Main Library 572.80285 M33 (Browse Shelf) Available

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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