Fuzzy Systems in Bioinformatics and Computational Biology - Couverture souple

9783642100680: Fuzzy Systems in Bioinformatics and Computational Biology

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ISBN 10 : 3642100686 ISBN 13 : 9783642100680

Editeur : Springer, 2010

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Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.

Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology.

Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.

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�diteur: Springer
Date d'�dition: 2010
Langue: anglais
ISBN 10: 3642100686
ISBN 13: 9783642100680
Reliure: Broch�
Nombre de pages: 348
�diteur: Jin Yaochu, Wang Lipo
Coordonn�es du fabricant: non disponible
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9783540899679: Fuzzy Systems in Bioinformatics and Computational Biology

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ISBN 10 : 3540899677 ISBN 13 : 9783540899679
Editeur : Springer-Verlag Berlin and Heide..., 2009
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Fuzzy Systems in Bioinformatics and Computational Biology

Lipo Wang

Edit� par Springer Berlin Heidelberg Okt 2010, 2010

ISBN 10 : 3642100686 ISBN 13 : 9783642100680

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology. 348 pp. Englisch. N� de r�f. du vendeur 9783642100680

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Fuzzy Systems in Bioinformatics and Computational Biology

Jin, Yaochu|Wang, Lipo

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642100686 ISBN 13 : 9783642100680

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the latest trends in bioinformatics, bioengineering and computational biologyBiological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a la. N� de r�f. du vendeur 5049050

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Fuzzy Systems in Bioinformatics and Computational Biology

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ISBN 10 : 3642100686 ISBN 13 : 9783642100680

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Fuzzy Systems in Bioinformatics and Computational Biology

Lipo Wang

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ISBN 10 : 3642100686 ISBN 13 : 9783642100680

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. N� de r�f. du vendeur 9783642100680

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Fuzzy Systems in Bioinformatics and Computational Biology

Lipo Wang

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642100686 ISBN 13 : 9783642100680

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology. N� de r�f. du vendeur 9783642100680

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