Clustering in bioinformatics and drug discovery /
MacCuish, John D.
Clustering in bioinformatics and drug discovery / John D. MacCuish, Norah E. MacCuish. - Boca Raton, FL : CRC Press, c2011. - 214 p. : ill. ; 25 cm. + 1 DVD (4 3/4 in.) - 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.
9781439816783 (hardcover : alk. paper) 1439816786 (hardcover : alk. paper)
2010025741
101533972 DNLM 015551230 Uk
Bioinformatics--Mathematics.
Drug development.
Cluster analysis.
Computational biology.
Cluster Analysis.
Drug Discovery--methods.
Computational Biology.
QH324.2 / .M33 2011
572.80285
2011 A-824 QV 744
Clustering in bioinformatics and drug discovery / John D. MacCuish, Norah E. MacCuish. - Boca Raton, FL : CRC Press, c2011. - 214 p. : ill. ; 25 cm. + 1 DVD (4 3/4 in.) - 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.
9781439816783 (hardcover : alk. paper) 1439816786 (hardcover : alk. paper)
2010025741
101533972 DNLM 015551230 Uk
Bioinformatics--Mathematics.
Drug development.
Cluster analysis.
Computational biology.
Cluster Analysis.
Drug Discovery--methods.
Computational Biology.
QH324.2 / .M33 2011
572.80285
2011 A-824 QV 744