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Applications of fuzzy logic in bioin...
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World Scientific (Firm)
Applications of fuzzy logic in bioinformatics
Record Type:
Electronic resources : Monograph/item
Title/Author:
Applications of fuzzy logic in bioinformaticsDong Xu ... [et al.].
other author:
Xu, Dong,
Published:
London :Imperial College Press ;c2008.
Description:
xix, 225 p. :ill. (some col.)
Series:
Series on advances in bioinformatics and computational biology,
Subject:
Bioinformatics.
Online resource:
http://www.worldscientific.com/worldscibooks/10.1142/P583#t=toc
ISBN:
9781848162594 (electronic bk.)
Applications of fuzzy logic in bioinformatics
Applications of fuzzy logic in bioinformatics
[electronic resource] /Dong Xu ... [et al.]. - London :Imperial College Press ;c2008. - xix, 225 p. :ill. (some col.) - Series on advances in bioinformatics and computational biology,v. 91751-6404 ;.
Includes bibliographical references (p. 196-221) and index.
Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.
Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2008.
System requirements: Adobe Acrobat Reader.
ISBN: 9781848162594 (electronic bk.)Subjects--Topical Terms:
194415
Bioinformatics.
LC Class. No.: QH324.2
Dewey Class. No.: 570.285
Applications of fuzzy logic in bioinformatics
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xix, 225 p. :
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Series on advances in bioinformatics and computational biology,
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Includes bibliographical references (p. 196-221) and index.
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Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.
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Electronic reproduction.
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2008.
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System requirements: Adobe Acrobat Reader.
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Bioinformatics.
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Xu, Dong,
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http://www.worldscientific.com/worldscibooks/10.1142/P583#t=toc
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EB QH324.2 c2008
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http://www.worldscientific.com/worldscibooks/10.1142/P583#t=toc
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