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Connection

Andrey Rzhetsky to Artificial Intelligence

This is a "connection" page, showing publications Andrey Rzhetsky has written about Artificial Intelligence.
Connection Strength

1.383
  1. Philosophy of science. Machine science. Science. 2010 Jul 23; 329(5990):399-400.
    View in: PubMed
    Score: 0.285
  2. Imitating manual curation of text-mined facts in biomedicine. PLoS Comput Biol. 2006 Sep 08; 2(9):e118.
    View in: PubMed
    Score: 0.216
  3. Emergent behavior of growing knowledge about molecular interactions. Nat Biotechnol. 2005 Oct; 23(10):1243-7.
    View in: PubMed
    Score: 0.204
  4. GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data. J Biomed Inform. 2004 Feb; 37(1):43-53.
    View in: PubMed
    Score: 0.182
  5. A knowledge model for analysis and simulation of regulatory networks. Bioinformatics. 2000 Dec; 16(12):1120-8.
    View in: PubMed
    Score: 0.146
  6. Getting started in text mining: part two. PLoS Comput Biol. 2009 Jul; 5(7):e1000411.
    View in: PubMed
    Score: 0.067
  7. Multi-dimensional classification of biomedical text: toward automated, practical provision of high-utility text to diverse users. Bioinformatics. 2008 Sep 15; 24(18):2086-93.
    View in: PubMed
    Score: 0.062
  8. Seeking a new biology through text mining. Cell. 2008 Jul 11; 134(1):9-13.
    View in: PubMed
    Score: 0.062
  9. Learning to predict protein-protein interactions from protein sequences. Bioinformatics. 2003 Oct 12; 19(15):1875-81.
    View in: PubMed
    Score: 0.045
  10. Of truth and pathways: chasing bits of information through myriads of articles. Bioinformatics. 2002; 18 Suppl 1:S249-57.
    View in: PubMed
    Score: 0.039
  11. GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles. Bioinformatics. 2001; 17 Suppl 1:S74-82.
    View in: PubMed
    Score: 0.037
  12. Disambiguating proteins, genes, and RNA in text: a machine learning approach. Bioinformatics. 2001; 17 Suppl 1:S97-106.
    View in: PubMed
    Score: 0.037
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.