Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP730629.RAhhtEQnM2E0OTr4bzRYoMeuEqTQ4xE8sth9LKFWVHXIk#provenance>. }
Showing items 1 to 9 of
9
with 100 items per page.
- 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 9850092 provenance.
- assertion evidence source_evidence_literature provenance.
- assertion description "[Additional investigation of MUC3 and MUC4 in ovarian cancers may lead to new approaches for early detection and therapy.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.