Applications of fuzzy logic in bioinformatics /
Saved in:
| Imprint: | London : Imperial College Press ; Hackensack, N.J. : Distributed by World Scientific, 2008. |
|---|---|
| Description: | 1 online resource (xix, 225 pages) : illustrations |
| Language: | English |
| Series: | Series on advances in bioinformatics and computational biology ; v. 9 Series on advances in bioinformatics and computational biology ; v. 9. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11170449 |
| Summary: | 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. |
|---|---|
| Physical Description: | 1 online resource (xix, 225 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 196-221) and index. |
| ISBN: | 9781848162594 1848162596 9781848162587 1848162588 |