Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP1324770.RAyeK522sxIJQxS3fp7PztCA6ARUmcoS_KzotptWQRUN4#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.
- assertion description "[A combined ELISA for both LY6K and CEA classified 64.7% of lung adenocarcinoma patients as positive, and the use of both LY6K and CYFRA 21-1 increased sensitivity in the detection of lung squamous cell carcinomas and ESCCs up to 70.4% and 52.5%, respectively, whereas the false positive rate was 6.8% to 9.5%.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
- assertion evidence source_evidence_literature provenance.
- assertion SIO_000772 18089789 provenance.
- assertion wasDerivedFrom BEFREE provenance.
- assertion wasGeneratedBy ECO_0000203 provenance.
- BEFREE importedOn "2017-02-19" provenance.