東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Clustering in bioinformatics and dru...

MacCuish, John D.

Linked to FindBook

Google Book

Amazon

博客來

Clustering in bioinformatics and drug discovery

Record Type:	Electronic resources : Monograph/item
Title/Author:	Clustering in bioinformatics and drug discovery/ John D. MacCuish, Norah E. MacCuish.
Author:	MacCuish, John D.
other author:	MacCuish, Norah E.
Published:	Boca Raton, FL :CRC Press, : c2010.,
Description:	1 online resource (214 p.) :ill.
[NT 15003449]:	(Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.
Subject:	Bioinformatics - Mathematics. -
Online resource:	http://www.crcnetbase.com/isbn/9781439816783
ISBN:	9781439816790 (electronic bk.)

Clustering in bioinformatics and drug discovery
MacCuish, John D.

Clustering in bioinformatics and drug discovery[electronic resource] : /John D. MacCuish, Norah E. MacCuish. - Boca Raton, FL :CRC Press,c2010. - 1 online resource (214 p.) :ill. - Chapman & Hall/CRC mathematical and computational biology series. - Chapman & Hall/CRC mathematical and computational biology series (Unnumbered).

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.

ISBN: 9781439816790 (electronic bk.)Subjects--Topical Terms:

907247
Bioinformatics
--Mathematics.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QH324.2 / .M33 2010

Dewey Class. No.: 572.80285

National Library of Medicine Call No.: 2011 A-824

Clustering in bioinformatics and drug discovery
LDR:01981cmm a2200301Ia 4500 001 1902450
006 m d
007 cr cnu---unuuu
008 240124s2010 flua ob 001 0 eng
020 $a 9781439816790 (electronic bk.)
020 $a 1439816794 (electronic bk.)
020 $a 9781439816783 (hardcover : alk. paper)
020 $a 1439816786 (hardcover : alk. paper)
035 $a ocn710051106
035 $a 1902450
040 $a LOY $c LOY $d LOY $d VLB
050 0 0 $a QH324.2 $b .M33 2010
060 0 0 $a 2011 A-824
060 1 0 $a QV 744
082 0 0 $a 572.80285 $2 22
100 1 $a MacCuish, John D. $3 2018840
245 1 0 $a Clustering in bioinformatics and drug discovery $h [electronic resource] : / $c John D. MacCuish, Norah E. MacCuish.
260 $a Boca Raton, FL : $b CRC Press, $c c2010.
300 $a 1 online resource (214 p.) : $b ill.
490 1 $a Chapman & Hall/CRC mathematical and computational biology series
504 $a Includes bibliographical references and index.
505 8 $a (Publisher-supplied data) Introduction -- Data -- Clustering Forms -- Partitional Algorithms -- Cluster Sampling Algorithms - Hierarchical Algorithms -- Hybrid Algorithms -- Asymmetry -- Ambiguity -- Validation -- Large Scale and Parallel Algorithms.
520 $a "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.
588 $a Description based on print version record.
650 0 $a Bioinformatics $x Mathematics. $3 907247
650 0 $a Drug development. $3 716904
650 0 $a Cluster analysis. $3 562995
650 0 $a Computational biology. $3 590653
650 1 2 $a Cluster Analysis. $3 912022
650 1 2 $a Drug Discovery $x methods. $3 1305509
650 2 2 $a Computational Biology. $3 736565
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a MacCuish, Norah E. $3 2018841
830 0 $a Chapman & Hall/CRC mathematical and computational biology series (Unnumbered) $3 2018842
856 4 0 $u http://www.crcnetbase.com/isbn/9781439816783