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Item type | Location | Call Number | Status | Notes | Date Due |
---|---|---|---|---|---|
Book | AUM Main Library | 572.80285 M33 (Browse Shelf) | Available | JBC/2011/11367 | |
Book | AUM Main Library | 572.80285 M33 (Browse Shelf) | Available | JBC/2011/11367 |
572.80285 L629Introduction to bioinformatics / | 572.80285 L629Introduction to bioinformatics / | 572.80285 L629Introduction to bioinformatics / | 572.80285 M33Clustering in bioinformatics and drug discovery / | 572.80285 M33Clustering in bioinformatics and drug discovery / | 572.80285 P373Pattern discovery in bioinformatics : |
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.
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