Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP1293662.RA-kF-fuYZpn-b2uaaFm1tutzqxyt0V7tQ9SrTIYO_1I0#provenance>. }
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- source_evidence_literature type ECO_0000212 provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." provenance.
- BEFREE importedOn "2017-02-19" provenance.
- assertion wasGeneratedBy ECO_0000203 provenance.
- assertion wasDerivedFrom BEFREE provenance.
- assertion SIO_000772 18847555 provenance.
- assertion evidence source_evidence_literature provenance.
- assertion description "[Primary screening with Hybrid Capture((R)) 2 (HC2) generally detects more than 90% of all CIN2, CIN3 or cancer cases, and is 25% (95% CI): 15-36%) relatively more sensitive than cytology at a cut-off of abnormal squamous cells of undetermined significance (ASC-US) (or low-grade squamous intraepithelial lesions (LSIL) if ASC-US unavailable), but is 6% (95% CI: 4-7%) relatively less specific.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.