Applications Of Fuzzy Logic In Bioinformatics
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A01=Dong Xu
A01=James M Keller
A01=Mihail Popescu
A01=Rajkumar Bondugula
Author_Dong Xu
Author_James M Keller
Author_Mihail Popescu
Author_Rajkumar Bondugula
Bioinformatics
Category=PSD
Clustering
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eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Fuzzy Logic
Fuzzy Set Theory
Ontology
Protein Structure
Product details
- ISBN 9781848162587
- Publication Date: 13 Aug 2008
- Publisher: Imperial College Press
- Publication City/Country: GB
- Product Form: Hardback
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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.
