Applications Of Fuzzy Logic In Bioinformatics
Saved in:
| Title: | Applications Of Fuzzy Logic In Bioinformatics |
|---|---|
| Description: | 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. |
| Authors: | Dong Xu, James M Keller, Rajkumar Bondugula, Mihail Popescu |
| Resource Type: | eBook. |
| Subjects: | Fuzzy sets, Fuzzy logic, Bioinformatics, Computational biology |
| Categories: | SCIENCE / Life Sciences / Molecular Biology, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Logic Design |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | 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. |
|---|---|
| ISBN: | 9781848162587 9781848162594 |
