A graphic tool for curating molecular interaction networks from the literature

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We propose a graphic tool for curating molecular interaction networks constructed from the literature by information extraction (IE). In order to turn preliminary results from IE into useful biomedical resources, we propose to use a controlled environment in which visualization and IE work synergistically. The usability of the proposed graphic tool is shown with respect to the identification of incorrectly extracted results that are due to the much troubling coordination phenomena in natural language texts. Through the experiment on molecular interactions in Saccaharomyces cerevisiae, we have seen a meaningful increase (from 91.5% to 97.5%) in the number of correctly extracted interaction information. (c) 2004 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2005-10
Language
English
Article Type
Article
Citation

COMPUTERS IN BIOLOGY AND MEDICINE, v.35, pp.555 - 564

ISSN
0010-4825
DOI
10.1016/j.compbiomed.2004.04.005
URI
http://hdl.handle.net/10203/89623
Appears in Collection
CS-Journal Papers(저널논문)
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