Data Mining Applications Using Ontologies in Biomedicine Ebook

Dong Xu , Mihail Popescu
Publication: Artech House
 
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Language: English
Publication Date: August 2009
File Size: 5063 Kbytes
Illustrations included

Restrictions set by Publisher:
- Text-to-speech feature is available.
- Printing is not permitted.
- You cannot copy text from file.
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    - You cannot copy text from file.
  • Refund Policy
    Refunds are not allowed after the ebook is opened so please open the ebook directly on your intended device. Refund requests should be recieved within 7 days after download is made available. Of course, if you get an incorrect ebook ( different from what is mentioned in the title) or if the ebook doesn't open on the initial device, then we'll assist with fixing the issue or get you a refund if a timely fix isn't available.
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Language: English
Publication Date: August 2009
File Size: 5063 Kbytes

Restrictions set by Publisher:
- Text-to-speech feature not available.
- Printing is not permitted.
- You cannot copy text from file.
- Free application Adobe Digital Editions, Aldiko reader, or Bluefire reader required .
$113.45 $129.00
( 12.05% savings )

Great Prices, Always!
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ISBN: 9781596933712   Should I buy this Ebook?   Write a Review

Description

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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Data Mining Applications Using Ontologies in Biomedicine