| Applications of Fuzzy Logic in Bioinformatics Contributor(s): Xu, Dong (Author), Keller, James M. (Author), Bondugula, Rajkumar (Author) |
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ISBN: 1848162588 ISBN-13: 9781848162587 Publisher: Imperial College Press OUR PRICE: $128.25 Product Type: Hardcover - Other Formats Published: August 2008 |
| Additional Information |
| BISAC Categories: - Science | Life Sciences - Molecular Biology - Computers | Intelligence (ai) & Semantics - Computers | Logic Design |
| Dewey: 572.802 |
| Series: Advances in Bioinformatics and Computational Biology |
| Physical Information: 0.9" H x 6.1" W x 9.1" (1.25 lbs) 248 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |