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Extraction of biological interaction networks from scientific literature.

Authors :
Skusa, Andre
Rüegg, Alexander
Köhler, Jacob
Source :
Briefings in Bioinformatics; Sep2005, Vol. 6 Issue 3, p263-276, 14p
Publication Year :
2005

Abstract

Biology can be regarded as a science of networks: interactions between various biological entities (eg genes, proteins, metabolites) on different levels (eg gene regulation, cell signalling) can be represented as graphs and, thus, analysis of such networks might shed new light on the function of biological systems. Such biological networks can be obtained from different sources. The extraction of networks from text is an important technique that requires the integration of several different computational disciplines. This paper summarises the most important steps in network extraction and reviews common approaches and solutions for the extraction of biological networks from scientific literature. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14675463
Volume :
6
Issue :
3
Database :
Complementary Index
Journal :
Briefings in Bioinformatics
Publication Type :
Academic Journal
Accession number :
18419743
Full Text :
https://doi.org/10.1093/bib/6.3.263