Data mining in biomedicine using ontologies:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Norwood, MA
Artech House
2009
|
| Schriftenreihe: | Artech House bioinformatics & biomedical imaging series
|
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (xv, 262 pages) illustrations |
| ISBN: | 9781596933712 1596933712 |
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| 245 | 1 | 0 | |a Data mining in biomedicine using ontologies |c Mihail Popescu, Dong Xu, editors |
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| 505 | 8 | |a Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book | |
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| contents | Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book |
| ctrlnum | (ZDB-4-ENC)ocn556187536 (OCoLC)556187536 (DE-599)BVBBV045343429 |
| dewey-full | 610.285 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.285 |
| dewey-search | 610.285 |
| dewey-sort | 3610.285 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | DE-604.BV045343429 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:29Z |
| institution | BVB |
| isbn | 9781596933712 1596933712 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030730132 |
| oclc_num | 556187536 |
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| physical | 1 online resource (xv, 262 pages) illustrations |
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| publisher | Artech House |
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| series2 | Artech House bioinformatics & biomedical imaging series |
| spelling | Data mining in biomedicine using ontologies Mihail Popescu, Dong Xu, editors Norwood, MA Artech House 2009 1 online resource (xv, 262 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Artech House bioinformatics & biomedical imaging series Print version record Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book TECHNOLOGY & ENGINEERING / Biomedical bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Allied Health Services / Medical Technology bisacsh MEDICAL / Biotechnology bisacsh MEDICAL / Lasers in Medicine bisacsh Bioinformatics fast Data mining fast Medical informatics fast Ontologies (Information retrieval) fast Computational Biology Data Mining Medical informatics Bioinformatics Data mining Ontologies (Information retrieval) Popescu, Mihail 1962- Sonstige oth Xu, Dong 1965- Sonstige oth Erscheint auch als Druck-Ausgabe Data mining in biomedicine using ontologies Norwood, MA : Artech House, 2009 9781596933705 |
| spellingShingle | Data mining in biomedicine using ontologies Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book TECHNOLOGY & ENGINEERING / Biomedical bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Allied Health Services / Medical Technology bisacsh MEDICAL / Biotechnology bisacsh MEDICAL / Lasers in Medicine bisacsh Bioinformatics fast Data mining fast Medical informatics fast Ontologies (Information retrieval) fast Computational Biology Data Mining Medical informatics Bioinformatics Data mining Ontologies (Information retrieval) |
| title | Data mining in biomedicine using ontologies |
| title_auth | Data mining in biomedicine using ontologies |
| title_exact_search | Data mining in biomedicine using ontologies |
| title_full | Data mining in biomedicine using ontologies Mihail Popescu, Dong Xu, editors |
| title_fullStr | Data mining in biomedicine using ontologies Mihail Popescu, Dong Xu, editors |
| title_full_unstemmed | Data mining in biomedicine using ontologies Mihail Popescu, Dong Xu, editors |
| title_short | Data mining in biomedicine using ontologies |
| title_sort | data mining in biomedicine using ontologies |
| topic | TECHNOLOGY & ENGINEERING / Biomedical bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Allied Health Services / Medical Technology bisacsh MEDICAL / Biotechnology bisacsh MEDICAL / Lasers in Medicine bisacsh Bioinformatics fast Data mining fast Medical informatics fast Ontologies (Information retrieval) fast Computational Biology Data Mining Medical informatics Bioinformatics Data mining Ontologies (Information retrieval) |
| topic_facet | TECHNOLOGY & ENGINEERING / Biomedical MEDICAL / Family & General Practice MEDICAL / Allied Health Services / Medical Technology MEDICAL / Biotechnology MEDICAL / Lasers in Medicine Bioinformatics Data mining Medical informatics Ontologies (Information retrieval) Computational Biology Data Mining Medical informatics Bioinformatics Data mining Ontologies (Information retrieval) |
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