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 des...
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| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
London
Imperial College Press
c2008
|
| Subjects: | |
| Online Access: | FHN01 Volltext |
| 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: | xix, 225 p. ill. (some col.) |
| ISBN: | 9781848162594 |
Staff View
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| id | DE-604.BV044633378 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:57:42Z |
| institution | BVB |
| isbn | 9781848162594 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030031349 |
| oclc_num | 1012621702 |
| open_access_boolean | |
| owner | DE-92 |
| owner_facet | DE-92 |
| physical | xix, 225 p. ill. (some col.) |
| psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Imperial College Press |
| record_format | marc |
| spelling | Applications of fuzzy logic in bioinformatics Dong Xu ... [et al.] London Imperial College Press c2008 xix, 225 p. ill. (some col.) txt rdacontent c rdamedia cr rdacarrier 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 Bioinformatics Computational biology Fuzzy logic Fuzzy sets Xu, Dong 1965- Sonstige oth http://www.worldscientific.com/worldscibooks/10.1142/P583#t=toc Verlag URL des Erstveroeffentlichers Volltext |
| spellingShingle | Applications of fuzzy logic in bioinformatics Bioinformatics Computational biology Fuzzy logic Fuzzy sets |
| title | Applications of fuzzy logic in bioinformatics |
| title_auth | Applications of fuzzy logic in bioinformatics |
| title_exact_search | Applications of fuzzy logic in bioinformatics |
| title_full | Applications of fuzzy logic in bioinformatics Dong Xu ... [et al.] |
| title_fullStr | Applications of fuzzy logic in bioinformatics Dong Xu ... [et al.] |
| title_full_unstemmed | Applications of fuzzy logic in bioinformatics Dong Xu ... [et al.] |
| title_short | Applications of fuzzy logic in bioinformatics |
| title_sort | applications of fuzzy logic in bioinformatics |
| topic | Bioinformatics Computational biology Fuzzy logic Fuzzy sets |
| topic_facet | Bioinformatics Computational biology Fuzzy logic Fuzzy sets |
| url | http://www.worldscientific.com/worldscibooks/10.1142/P583#t=toc |
| work_keys_str_mv | AT xudong applicationsoffuzzylogicinbioinformatics |