Fuzzy Systems in Bioinformatics and Computational Biology
Editors: Jin, Yaochu, Wang, Lipo (Eds.)
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- About this book
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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 bioinformstics, biomedical engineering and computational biology.
- Table of contents (16 chapters)
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Induction of Fuzzy Rules by Means of Artificial Immune Systems in Bioinformatics
Pages 1-17
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Fuzzy Genome Sequence Assembly for Single and Environmental Genomes
Pages 19-44
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A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes
Pages 45-65
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Fuzzy Vector Filters for cDNA Microarray Image Processing
Pages 67-82
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Microarray Data Analysis Using Fuzzy Clustering Algorithms
Pages 83-102
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Table of contents (16 chapters)
- Download Preface 1 PDF (72.7 KB)
- Download Table of contents PDF (104 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Fuzzy Systems in Bioinformatics and Computational Biology
- Editors
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- 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
