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Extracting interactions between proteins from the literature

Zhou, Deyu and He, Yulan (2008). Extracting interactions between proteins from the literature. Journal of Biomedical Informatics, 41(2) pp. 393–407.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1016/j.jbi.2007.11.008
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Abstract

During the last decade, biomedicine has witnessed a tremendous development. Large amounts of experimental and computational biomedical data have been generated along with new discoveries, which are accompanied by an exponential increase in the number of biomedical publications describing these discoveries. In the meantime, there has been a great interest with scientific communities in text mining tools to find knowledge such as protein–protein interactions, which is most relevant and useful for specific analysis tasks. This paper provides a outline of the various information extraction methods in biomedical domain, especially for discovery of protein–protein interactions. It surveys methodologies involved in plain texts analyzing and processing, categorizes current work in biomedical information extraction, and provides examples of these methods. Challenges in the field are also presented and possible solutions are discussed.

Item Type: Journal Article
Copyright Holders: 2007 Elsevier Inc.
ISSN: 1532-0464
Keywords: information extraction; biomedicine; computational linguistics; machine learning; text mining; protein�protein interactions
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 23792
Depositing User: Kay Dave
Date Deposited: 10 Nov 2010 12:59
Last Modified: 24 Oct 2012 09:57
URI: http://oro.open.ac.uk/id/eprint/23792
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