Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
by: Yaochu Jin, Lipo Wang
Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
By Yaochu Jin, Lipo Wang
Publisher: Springer
Number Of Pages: 332
Publication Date: 2009-03-01
ISBN-10 / ASIN: 3540899677
ISBN-13 / EAN: 9783540899679
Product Description:
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.
http://rapidshare.com/files/191925441/Fuzzy_System_3540899677_p.rar
by: Yaochu Jin, Lipo Wang
Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
By Yaochu Jin, Lipo Wang
Publisher: Springer
Number Of Pages: 332
Publication Date: 2009-03-01
ISBN-10 / ASIN: 3540899677
ISBN-13 / EAN: 9783540899679
Product Description:
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.
http://rapidshare.com/files/191925441/Fuzzy_System_3540899677_p.rar
