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GeneRIF Quality Assurance As Summary Revision

Overview
Publisher World Scientific
Specialty Biology
Date 2007 Nov 10
PMID 17990498
Citations 40
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Abstract

Like the primary scientific literature, GeneRIFs exhibit both growth and obsolescence. NLM's control over the contents of the Entrez Gene database provides a mechanism for dealing with obsolete data: GeneRIFs are removed from the database when they are found to be of low quality. However, the rapid and extensive growth of Entrez Gene makes manual location of low-quality GeneRIFs problematic. This paper presents a system that takes advantage of the summary-like quality of GeneRIFs to detect low-quality GeneRIFs via a summary revision approach, achieving precision of 89% and recall of 77%. Aspects of the system have been adopted by NLM as a quality assurance mechanism.

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