Clustering in bioinformatics and drug discovery

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August 30, 2023 | History

Clustering in bioinformatics and drug discovery

"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.

Publish Date
Language
English
Pages
248

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Edition Availability
Cover of: Clustering in bioinformatics and drug discovery
Clustering in bioinformatics and drug discovery
2011, Taylor & Francis, Brand: CRC Press, CRC Press
in English

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Book Details


Table of 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.

Edition Notes

Includes bibliographical references and index.

Published in
Boca Raton
Series
Chapman & Hall/CRC mathematical and computational biology series, Chapman & Hall/CRC mathematical and computational biology series (Unnumbered)

Classifications

Dewey Decimal Class
572.80285
Library of Congress
QH324.2 .M33 2011, RM301.25, QH324.2 .M33 2011eb

The Physical Object

Pagination
p. ;
Number of pages
248

Edition Identifiers

Open Library
OL24539119M
ISBN 13
9781439816783
LCCN
2010025741
OCLC/WorldCat
903970440

Work Identifiers

Work ID
OL15587748W

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
August 30, 2023 Edited by ImportBot import existing book
April 7, 2023 Edited by ImportBot import existing book
December 15, 2022 Edited by MARC Bot import existing book
November 13, 2020 Edited by MARC Bot import existing book
December 15, 2010 Created by ImportBot Imported from Library of Congress MARC record