Applications of Fuzzy Logic in Bioinformatics

Front Cover
Imperial College Press, 2008 - Computers - 225 pages
2 Reviews
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.
 

What people are saying - Write a review

User Review - Flag as inappropriate

its an informative. helpful for clarifing fuzzy logic .

User Review - Flag as inappropriate

vry simple language used and easy to understand . one really needs it

Contents

1 Introduction to Bioinformatics
1
2 Introduction to Fuzzy Set Theory and Fuzzy Logic
16
3 Fuzzy Similarities in Ontologies
73
4 Fuzzy Logic in Structural Bioinformatics
103
5 Application of Fuzzy Logic in Microarray Data Analyses
131
6 Other Applications
160
7 Summary and Outlook
176
Appendix I Fundamental Biological Concepts
179
Appendix II Online Resources
189
Bibliography
196
Index
222
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information