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Literature mining of protein-residue associations with graph rules learned through distant supervision

  • 1Email author,
  • 1,
  • 2,
  • 2 and
  • 1, 3
Journal of Biomedical Semantics20123(Suppl 3):S2

https://doi.org/10.1186/2041-1480-3-S3-S2

Published: 5 October 2012

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Archived Comments

  1. Updated citation

    26 October 2012

    Karin Verspoor, National ICT Australia

    Please note the updated citation for the "in press" article cited in this paper is:

    Verspoor K, Cohn JD, Ravikumar KE, Wall ME (2012): Text Mining Improves Prediction of Protein Functional Sites. PLoS ONE 7(2): e32171. doi:10.1371/journal.pone.0032171

    http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0032171

    Competing interests

    None declared

Authors’ Affiliations

(1)
University of Colorado School of Medicine, Aurora, USA
(2)
Los Alamos National Laboratory, Los Alamos, USA
(3)
National ICT Australia Victoria Research Lab, Melbourne, Australia

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