ArcheGEO

Huey-Eng Chua, L. Tucker-Kellogg, S. Bhowmick
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Abstract

Transciptomic data stored in the Gene Expression Omnibus (GEO) serves thousands of queries per day, but a lack of standardized machine-readable metadata causes many searches to return irrelevant hits, which impede convenient access to useful data in the GEO repository. Here, we describe ArcheGEO, a novel end-to-end framework that improves results from the GEO Browser by automatically determining the relevance of these results. Unlike existing tools, ArcheGEO reports on the irrelevant results and provides reasoning for their exclusion. Such reasoning can be leveraged to improve annotations of metadata.
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