Applications of Fuzzy Logic in Bioinformatics

Klappentext 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. Zusammenfassung Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. This book addresses several important bioinformatics topics using fuzzy concepts and approaches! including measurement of ontological similarity! protein structure prediction/analysis! and microarray data analysis. Inhaltsverzeichnis Introduction to Bioinformatics; Introduction to Fuzzy Set Theory and Fuzzy Logic; Fuzzy Similarities in Ontologies; Fuzzy Logic in Structural Bioinformatics; Microarray Data Analysis; Other Applications; Summary; Fundamental Biological Concepts; Online Resources.

Product details

• Authors: Rajkumar Bondugula, Rajkumar (Univ Of Missouri-columbia Bondugula, Bondugula Rajkumar, James M Keller, James M Keller, James M (Univ Of Missouri-columbia Keller, James M. Keller, Mihail Popescu, Mihail (Univ Of Missouri-columbia Popescu, Popescu Mihail, Dong Xu, Dong (Univ Of Missouri-columbia Xu, Dong Keller Xu, XU DONG KELLER JAMES M POPESCU
• Publisher: Imperial College Press
• Languages: English
• Product format: Hardback
• Released: 13.08.2008
• EAN: 9781848162587
• ISBN: 978-1-84816-258-7
• No. of pages: 248
• Series: Advances in Bioinformatics and; Series On Advances In Bioinformatics And Computational Biology; Series On Advances In Bioinformatics And Computational Biology; Advances in Bioinformatics and
• Subjects: Natural sciences, medicine, IT, technology > Biology > General, dictionaries; SCIENCE / Life Sciences / Molecular Biology, molecular biology