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Computational methods with applicati...

Ng, Ka-Lok.

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

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	570.285
書名/作者:	Computational methods with applications in bioinformatics analysis/ edited by Jeffrey J.P. Tsai, Ka-Lok Ng.
其他作者:	Tsai, Jeffrey J.-P.
出版者:	Singapore : : World Scientific,, c2017.
面頁冊數:	1 online resource (232 p.) : : ill.
附註:	Title from World Scientific website.
標題:	Bioinformatics - Mathematics.
標題:	Computational biology.
標題:	Electronic books.
ISBN:	9789813207981
書目註:	Includes bibliographical references and index.
摘要、提要註:	"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.
電子資源:	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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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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