Advanced data mining technologies in bioinformatics:
The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining play...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pa
IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
c2006
|
| Schlagworte: | |
| Online-Zugang: | DE-898 DE-706 DE-1050 DE-1049 DE-83 URL des Erstveröffentlichers |
| Zusammenfassung: | The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays a essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformaticsis extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (electronic texts (x, 329 p. ill.)) digital files |
| DOI: | 10.4018/978-1-59140-863-5 |
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| institution | BVB |
| language | English |
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| spelling | Advanced data mining technologies in bioinformatics Hui-Huang Hsu [editor] Hershey, Pa IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) c2006 1 Online-Ressource (electronic texts (x, 329 p. ill.)) digital files txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays a essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformaticsis extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic Bioinformatics Data mining Hsu, Hui-Huang 1965- ctb https://doi.org/10.4018/978-1-59140-863-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Advanced data mining technologies in bioinformatics Bioinformatics Data mining |
| title | Advanced data mining technologies in bioinformatics |
| title_auth | Advanced data mining technologies in bioinformatics |
| title_exact_search | Advanced data mining technologies in bioinformatics |
| title_exact_search_txtP | Advanced data mining technologies in bioinformatics |
| title_full | Advanced data mining technologies in bioinformatics Hui-Huang Hsu [editor] |
| title_fullStr | Advanced data mining technologies in bioinformatics Hui-Huang Hsu [editor] |
| title_full_unstemmed | Advanced data mining technologies in bioinformatics Hui-Huang Hsu [editor] |
| title_short | Advanced data mining technologies in bioinformatics |
| title_sort | advanced data mining technologies in bioinformatics |
| topic | Bioinformatics Data mining |
| topic_facet | Bioinformatics Data mining |
| url | https://doi.org/10.4018/978-1-59140-863-5 |
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