02346nam a2200385Ia 4500 CRC0KE10791PDF BD-DhSAU 20151012144309.0 m|||||o||d|||||||| cr|||| 110310s2011 fluad sb 001 0 eng d 9781439816790 (ebook : PDF) BD-DhSAU BD-DhSAU QH324.2 .M33 2011 572.80285 M133 MacCuish, John D. Clustering in bioinformatics and drug discovery [electronic resource] / John D. MacCuish, Norah E. MacCuish. Boca Raton : Taylor & Francis, 2011. 214 p. : ill. Chapman & Hall/CRC mathematical and computational biology series 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. Also available in print edition. Mode of access: World Wide Web. Bioinformatics Mathematics. Drug development. Cluster analysis. Computational biology. Electronic books. lcsh MacCuish, Norah E. 9781439816783 Chapman & Hall/CRC mathematical and computational biology series (Unnumbered) http://marc.crcnetbase.com/isbn/9781439816790 application/PDF 12121 12120