Clustering in bioinformatics and drug discovery /
Material type: TextSeries: Chapman & Hall/CRC mathematical and computational biology seriesPublication details: Boca Raton, FL : CRC Press, c2011Description: 214 p. : ill. ; 1 DVD (4 3/4 in.)ISBN: 9781439816783 (hardcover : alk. paper); 1439816786 (hardcover : alk. paper)Subject(s): Bioinformatics | Drug development | Cluster analysis | Computational biology | Cluster Analysis | Drug Discovery | Computational BiologyDDC classification: 572.80285 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 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.Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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BK | Kannur University Central Library Stack | Stack | 572.80285 MAC/C (Browse shelf (Opens below)) | Available | 32080 |
Browsing Kannur University Central Library shelves, Shelving location: Stack, Collection: Stack Close shelf browser (Hides shelf browser)
572.8015118 TYA/C Computational molecular biology | 572.802 85 Understanding bioinformatics | 572.80285 CUR/B Bioinformatics | 572.80285 MAC/C Clustering in bioinformatics and drug discovery / | 572.803 VAI/M Modern dictionary of bioinformatics and biotechnology | 572.82 PLA Plant tissue culture and molecular biology | 572.82 PLA Plant tissue culture and molecular markers : their role in improving crop productivity |
"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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