000			01914cam a22003254a 4500
001			16299762
003			OSt
005			20220107122712.0
008			130517b xxu||||| |||| 00| 0 eng d
016	7		_2UK
020			_a9781439816783
040			_cIIITM-K
082	0	0	_a572.80285 MAC/C
100	1		_aMacCuish, John D. _9239
245	1	0	_aClustering in bioinformatics and drug discovery _cby John D. MacCuish, Norah E. MacCuish.
260			_aBoca Raton, FL : _bCRC Press, _c2011.
300			_a214 p. : _e1 DVD
490	0		_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.
650		0	_aCOMPUTATIONAL BIOLOGY _9240
650		0	_aBIOINFORMATICS _9241
650		0	_aCLUSTER ANALYSIS _9242
650		0	_aDRUG DISCOVERY _9243
650	1	2	_aDRUG DSCOVERY _xMETHODS _9245
650	2	2	_aCOMPUTATIONAL BIOLOGY _9246
700	1		_aMacCuish, Norah E. _9247
942			_2ddc _cBK
999			_c2939 _d2939