[X] Close
You are about to erase all the values you have customized, search history, page format, etc.
Click here to RESET all values       Click here to GO BACK without resetting any value
Item 1 of about 1
1. Tsuruoka Y, Miwa M, Hamamoto K, Tsujii J, Ananiadou S: Discovering and visualizing indirect associations between biomedical concepts. Bioinformatics; 2011 Jul 1;27(13):i111-9
PDF icon [Fulltext service] Download fulltext PDF of this article and others, as many as you want.

  • [Source] The source of this record is MEDLINE®, a database of the U.S. National Library of Medicine.
  • [Title] Discovering and visualizing indirect associations between biomedical concepts.
  • MOTIVATION: Discovering useful associations between biomedical concepts has been one of the main goals in biomedical text-mining, and understanding their biomedical contexts is crucial in the discovery process.
  • Hence, we need a text-mining system that helps users explore various types of (possibly hidden) associations in an easy and comprehensible manner.
  • RESULTS: This article describes FACTA+, a real-time text-mining system for finding and visualizing indirect associations between biomedical concepts from MEDLINE abstracts.
  • The system can be used as a text search engine like PubMed with additional features to help users discover and visualize indirect associations between important biomedical concepts such as genes, diseases and chemical compounds.
  • FACTA+ inherits all functionality from its predecessor, FACTA, and extends it by incorporating three new features: (i) detecting biomolecular events in text using a machine learning model, (ii) discovering hidden associations using co-occurrence statistics between concepts, and (iii) visualizing associations to improve the interpretability of the output.
  • To the best of our knowledge, FACTA+ is the first real-time web application that offers the functionality of finding concepts involving biomolecular events and visualizing indirect associations of concepts with both their categories and importance.
  • AVAILABILITY: FACTA+ is available as a web application at http://refine1-nactem.mc.man.ac.uk/facta/, and its visualizer is available at http://refine1-nactem.mc.man.ac.uk/facta-visualizer/.
  • CONTACT: tsuruoka@jaist.ac.jp.

  • [Email] Email this result item
    Email the results to the following email address:   [X] Close
  • [Cites] J Am Med Inform Assoc. 2003 May-Jun;10(3):252-9 [12626374.001]
  • [Cites] J Biomed Inform. 2009 Aug;42(4):633-43 [19124086.001]
  • [Cites] Perspect Biol Med. 1986 Autumn;30(1):7-18 [3797213.001]
  • [Cites] Bull Med Libr Assoc. 1990 Jan;78(1):29-37 [2403828.001]
  • [Cites] BMC Bioinformatics. 2004 Oct 8;5:147 [15473905.001]
  • [Cites] Bioinformatics. 2004 Dec 12;20(18):3604-12 [15284092.001]
  • [Cites] Int J Med Inform. 2005 Mar;74(2-4):289-98 [15694635.001]
  • [Cites] Bioinformatics. 2005 May 1;21(9):2138-9 [15691860.001]
  • [Cites] Bioinformatics. 2005 Sep 1;21 Suppl 2:ii252-8 [16204114.001]
  • [Cites] Brief Bioinform. 2005 Sep;6(3):277-86 [16212775.001]
  • [Cites] BMC Bioinformatics. 2009;10 Suppl 10:S7 [19796404.001]
  • [Cites] Int J Med Inform. 2009 Dec;78(12):e39-46 [19501018.001]
  • [Cites] J Bioinform Comput Biol. 2010 Feb;8(1):131-46 [20183879.001]
  • [Cites] Bioinformatics. 2010 Jun 15;26(12):i374-81 [20529930.001]
  • [Cites] Bioinformatics. 2010 Jun 15;26(12):i382-90 [20529932.001]
  • [Cites] Trends Biotechnol. 2010 Jul;28(7):381-90 [20570001.001]
  • [Cites] PLoS Comput Biol. 2010;6(9). pii: e1000943. doi: 10.1371/journal.pcbi.1000943 [20885778.001]
  • [Cites] Pharmacogenomics. 2010 Oct;11(10):1467-89 [21047206.001]
  • [Cites] Bioinformatics. 2007 Jan 15;23(2):e237-44 [17237098.001]
  • [Cites] BMC Bioinformatics. 2008;9:10 [18182099.001]
  • [Cites] Nucleic Acids Res. 2008 Jul 1;36(Web Server issue):W406-10 [18442992.001]
  • [Cites] Genome Biol. 2008;9(6):R96 [18549479.001]
  • [Cites] Bioinformatics. 2008 Nov 1;24(21):2559-60 [18772154.001]
  • [Cites] BMC Bioinformatics. 2008;9 Suppl 11:S2 [19025688.001]
  • [Cites] Bioinformatics. 2009 Feb 1;25(3):394-400 [19073593.001]
  • [Cites] Comput Methods Programs Biomed. 2009 May;94(2):190-7 [19185946.001]
  • [Cites] PLoS Comput Biol. 2009 Mar;5(3):e1000215 [19325874.001]
  • [Cites] Bioinformatics. 2004 Feb 12;20(3):389-98 [14960466.001]
  • (PMID = 21685059.001).
  • [ISSN] 1367-4811
  • [Journal-full-title] Bioinformatics (Oxford, England)
  • [ISO-abbreviation] Bioinformatics
  • [Language] ENG
  • [Grant] United Kingdom / Biotechnology and Biological Sciences Research Council / / BB/G013160/1
  • [Publication-type] Journal Article; Research Support, Non-U.S. Gov't
  • [Publication-country] England
  • [Other-IDs] NLM/ PMC3117364
  •  go-up   go-down


Advertisement





Advertisement