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2005
Springer

gProt: Annotating Protein Interactions Using Google and Gene Ontology

13 years 9 months ago
gProt: Annotating Protein Interactions Using Google and Gene Ontology
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical information databases, the extraction cannot be done straightforward using dictionaries, so several approaches using contextual rules and machine learning have previously been proposed. Our work is inspired by the previous approaches, but is novel in the sense that it combines Google and Gene Ontology for annotating protein interactions. We got promising empirical results 57.5% terms as valid GO annotations, and 16.9% protein names in the answers provided by our system gProt. The total error-rate was 25.6% consisting mainly of overly general answers and syntactic errors, but also including semantic errors, other biological entities (than proteins and GO-terms) and false information sources.
Rune Sætre, Amund Tveit, Martin Thorsen Rana
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where KES
Authors Rune Sætre, Amund Tveit, Martin Thorsen Ranang, Tonje Strommen Steigedal, Liv Thommesen, Kamilla Stunes, Astrid Lægreid
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