Applications Of Fuzzy Logic In Bioinformatics
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.
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Applications Of Fuzzy Logic In Bioinformatics
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.
135.0
In Stock
5
1
Applications Of Fuzzy Logic In Bioinformatics
248
Applications Of Fuzzy Logic In Bioinformatics
248Hardcover
$135.00
135.0
In Stock
Product Details
| ISBN-13: | 9781848162587 |
|---|---|
| Publisher: | Imperial College Press |
| Publication date: | 08/13/2008 |
| Series: | Series On Advances In Bioinformatics And Computational Biology , #9 |
| Pages: | 248 |
| Product dimensions: | 6.10(w) x 9.10(h) x 1.00(d) |
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