000 02346nam a2200385Ia 4500
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008 110310s2011 fluad sb 001 0 eng d
020 _a9781439816790 (ebook : PDF)
040 _aBD-DhSAU
_cBD-DhSAU
090 _aQH324.2
_b.M33 2011
092 _a572.80285
_bM133
100 1 _aMacCuish, John D.
245 1 0 _aClustering in bioinformatics and drug discovery
_h[electronic resource] /
_cJohn D. MacCuish, Norah E. MacCuish.
260 _aBoca Raton :
_bTaylor & Francis,
_c2011.
300 _a214 p. :
_bill.
490 1 _aChapman & Hall/CRC mathematical and computational biology series
504 _aIncludes bibliographical references and index.
505 8 _a(Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.
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.
530 _aAlso available in print edition.
538 _aMode of access: World Wide Web.
650 0 _aBioinformatics
_xMathematics.
650 0 _aDrug development.
650 0 _aCluster analysis.
650 0 _aComputational biology.
655 7 _aElectronic books.
_2lcsh
700 1 _aMacCuish, Norah E.
776 1 _z9781439816783
830 0 _aChapman & Hall/CRC mathematical and computational biology series (Unnumbered)
856 4 0 _uhttp://marc.crcnetbase.com/isbn/9781439816790
_qapplication/PDF
999 _c12121
_d12120