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Clustering in bioinformatics and drug discovery by John D. MacCuish, Norah E. MacCuish.

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC mathematical and computational biology seriesPublication details: Boca Raton, FL : CRC Press, 2011.Description: 214 p. : 1 DVDISBN:
  • 9781439816783
Subject(s): DDC classification:
  • 572.80285 MAC/C
Contents:
(Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.
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.
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Item type Current library Call number Status Date due Barcode
Books Books Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre Bioinformatics 572.80285 MAC/C (Browse shelf(Opens below)) Available 2625

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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