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  Integration of text- and data-mining using ontologies successfully selects disease gene candidates

Tiffin, N., Kelso, J., Powell, A. R., Hong, P., Bajic, V. B., & Hide, W. A. (2005). Integration of text- and data-mining using ontologies successfully selects disease gene candidates. Nucleic Acids Research, 33(5), 1544-1552. doi:10.1093/nar/gki296.

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Tiffin_Integration_NAR_2005.pdf (Publisher version), 336KB
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Tiffin_Integration_NAR_2005.pdf
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2005
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© The Author 2005. Published by Oxford University Press. All rights reserved The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated
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 Creators:
Tiffin, Nicki, Author
Kelso, Janet1, Author           
Powell, Alan R., Author
Hong, Pan, Author
Bajic, Vladimir B., Author
Hide, Winston A., Author
Affiliations:
1The Minerva Research Group for Bioinformatics, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, Deutscher Platz 6, 04103 Leipzig, DE, ou_2074303              

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Language(s): eng - English
 Dates: 2005
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 388608
DOI: 10.1093/nar/gki296
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Title: Nucleic Acids Research
  Other : Nucleic Acids Res.
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 33 (5) Sequence Number: - Start / End Page: 1544 - 1552 Identifier: ISSN: 0301-5610
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000262810