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Clustering in bioinformatics and drug discovery

Author: John D MacCuish; Norah E MacCuish
Publisher: Boca Raton, Florida : CRC Press, [2011] ©2011
Series: Chapman and Hall/CRC mathematical & computational biology series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
"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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
MacCuish, John D.
Clustering in bioinformatics and drug discovery.
Boca Raton, Florida : CRC Press, [2011]
214 pages ; 25 cm.
(DLC) 11005342
(OCoLC)643443438
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John D MacCuish; Norah E MacCuish
ISBN: 9781439816790 1439816794
OCLC Number: 903970440
Description: 1 online resource (235 pages) : illustrations.
Contents: Cover; Title; Copyright; Contents; List of Figures; List of Tables; Preface; Acknowledgments; About the Authors; List of Symbols; Foreword; Chapter 1: Introduction; Chapter 2: Data; Chapter 3: Clustering Forms; Chapter 4: Partitional Algorithms; Chapter 5: Cluster Sampling Algorithms; Chapter 6: Hierarchical Algorithms; Chapter 7: Hybrid Algorithms; Chapter 8: Asymmetry; Chapter 9: Ambiguity; Chapter 10: Validation; Chapter 11: Large Scale and Parallel Algorithms; Chapter 12: Appendices; Bibliography.
Series Title: Chapman and Hall/CRC mathematical & computational biology series.
Responsibility: John D. MacCuish, Norah E. MacCuish.

Abstract:

"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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With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a Read more...

 
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