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Studies in Fuzziness and Soft Computing

Fuzzy Systems in Bioinformatics and Computational Biology

Editors: Jin, Yaochu, Wang, Lipo (Eds.)

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  • Presents the latest trends in bioinformatics, bioengineering and computational biology

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About this book

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 bioinformstics, biomedical engineering and computational biology.

Table of contents (16 chapters)

Table of contents (16 chapters)
  • Induction of Fuzzy Rules by Means of Artificial Immune Systems in Bioinformatics

    Pages 1-17

    Menolascina, Filippo (et al.)

  • Fuzzy Genome Sequence Assembly for Single and Environmental Genomes

    Pages 19-44

    Nasser, Sara (et al.)

  • A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes

    Pages 45-65

    Harari, Oscar (et al.)

  • Fuzzy Vector Filters for cDNA Microarray Image Processing

    Pages 67-82

    Lukac, Rastislav (et al.)

  • Microarray Data Analysis Using Fuzzy Clustering Algorithms

    Pages 83-102

    Dembélé, Doulaye

Buy this book

eBook $189.00
price for USA in USD
  • ISBN 978-3-540-89968-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-540-89967-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $269.00
price for USA in USD
  • ISBN 978-3-642-10068-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Fuzzy Systems in Bioinformatics and Computational Biology
Editors
  • Yaochu Jin
  • Lipo Wang
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
242
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-89968-6
DOI
10.1007/978-3-540-89968-6
Hardcover ISBN
978-3-540-89967-9
Softcover ISBN
978-3-642-10068-0
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XVI, 332
Number of Illustrations
107 b/w illustrations, 11 illustrations in colour
Topics

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