Applications of fuzzy logic in bioinformatics /
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| Imprint: | London : Imperial College Press ; Hackensack, N.J. Distributed by World Scientific, 2008. |
|---|---|
| Description: | xix, 225 p. : ill. ; 24 cm. |
| 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: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/7469162 |
MARC
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| 245 | 0 | 0 | |a Applications of fuzzy logic in bioinformatics / |c Dong Xu ... [et al.]. |
| 260 | |a London : |b Imperial College Press ; |a Hackensack, N.J. |b Distributed by World Scientific, |c 2008. | ||
| 300 | |a xix, 225 p. : |b ill. ; |c 24 cm. | ||
| 336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
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| 490 | 1 | |a Series on advances in bioinformatics and computational biology ; |v v. 9 | |
| 504 | |a Includes bibliographical references (p. 196-221) and index | ||
| 520 | 1 | |a "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." "Readership: Postdoctoral fellows, students, senior investigators and professional practitioners/bioinformatics experts. Also used as a textbook for upper undergraduates and graduates in bioinformatics."--BOOK JACKET. | |
| 650 | 0 | |a Bioinformatics. |0 http://id.loc.gov/authorities/subjects/sh00003585 | |
| 650 | 0 | |a Computational biology. |0 http://id.loc.gov/authorities/subjects/sh2003008355 | |
| 650 | 0 | |a Fuzzy logic. |0 http://id.loc.gov/authorities/subjects/sh93006704 | |
| 650 | 0 | |a Fuzzy sets. |0 http://id.loc.gov/authorities/subjects/sh85052627 | |
| 653 | 0 | |a Bioinformatics | |
| 653 | 0 | |a Computational biology | |
| 653 | 0 | |a Fuzzy logic | |
| 650 | 7 | |a Bioinformatics. |2 fast |0 http://id.worldcat.org/fast/fst00832181 | |
| 650 | 7 | |a Computational biology. |2 fast |0 http://id.worldcat.org/fast/fst00871990 | |
| 650 | 7 | |a Fuzzy logic. |2 fast |0 http://id.worldcat.org/fast/fst00936807 | |
| 650 | 7 | |a Fuzzy sets. |2 fast |0 http://id.worldcat.org/fast/fst00936812 | |
| 700 | 1 | |a Xu, Dong, |d 1965- |0 http://id.loc.gov/authorities/names/n2007014632 |1 http://viaf.org/viaf/73300460 | |
| 830 | 0 | |a Series on advances in bioinformatics and computational biology ; |v v. 9. | |
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