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Computational methods with applicati...

Ng, Ka-Lok.

Computational methods with applications in bioinformatics analysis[electronic resource] /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	570.285
[NT 47271] Title/Author:	Computational methods with applications in bioinformatics analysis/ edited by Jeffrey J.P. Tsai, Ka-Lok Ng.
[NT 51406] other author:	Tsai, Jeffrey J.-P.
出版者:	Singapore : : World Scientific,, c2017.
面页册数:	1 online resource (232 p.) : : ill.
附注:	Title from World Scientific website.
标题:	Bioinformatics - Mathematics.
标题:	Computational biology.
标题:	Electronic books.
ISBN:	9789813207981
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000229] null:	"This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics. The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals."--Publisher's website.
电子资源:	http://www.worldscientific.com/worldscibooks/10.1142/10393#t=toc

Computational methods with applications in bioinformatics analysis[electronic resource] /
Computational methods with applications in bioinformatics analysis[electronic resource] /edited by Jeffrey J.P. Tsai, Ka-Lok Ng. - 1st ed. - Singapore :World Scientific,c2017. - 1 online resource (232 p.) :ill. - Advanced series in electrical and computer engineering ;v. 20. - Advanced series in electrical and computer engineering ;v.15..

Title from World Scientific website.

Includes bibliographical references and index.

"This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics. The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals."--Publisher's website.

Electronic reproduction.
Singapore :
World Scientific,
[2017]

Mode of access: World Wide Web.

ISBN: 9789813207981

LCCN: 2016059286Subjects--Topical Terms:

559520
Bioinformatics
--Mathematics.

LC Class. No.: QH324.2 / .C6359 2017

Dewey Class. No.: 570.285

Computational methods with applications in bioinformatics analysis[electronic resource] /
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020 $z 9789813207974
035 $a 00010393
040 $a WSPC $b eng $c WSPC
041 0 $a eng
050 0 4 $a QH324.2 $b .C6359 2017
082 0 4 $a 570.285 $2 23
245 0 0 $a Computational methods with applications in bioinformatics analysis $h [electronic resource] / $c edited by Jeffrey J.P. Tsai, Ka-Lok Ng.
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2017.
300 $a 1 online resource (232 p.) : $b ill.
490 1 $a Advanced series in electrical and computer engineering ; $v v. 20
500 $a Title from World Scientific website.
504 $a Includes bibliographical references and index.
520 $a "This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics. The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals."--Publisher's website.
533 $a Electronic reproduction. $b Singapore : $c World Scientific, $d [2017]
538 $a Mode of access: World Wide Web.
588 $a Description based on print version record.
650 0 $a Bioinformatics $x Mathematics. $3 559520
650 0 $a Computational biology. $3 428845
650 0 $a Electronic books. $2 local $3 376747
700 1 $a Tsai, Jeffrey J.-P. $3 489931
700 1 $a Ng, Ka-Lok. $3 709842
830 0 $a Advanced series in electrical and computer engineering ; $v v.15. $3 689610
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10393#t=toc

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