Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP318058.RAAKUBJ4xGIGcz0zg_RWYWQ-SwNCsTXDbkk0TWunramwc#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 18575766 provenance.
- assertion evidence source_evidence_literature provenance.
- assertion description "[Tissue from 207 patients (101 malignant, 19 borderline, 64 benign ovarian tumors and 23 normal ovaries) were analyzed by quantitative ELISA for HER1-HER4 protein concentrations and by real-time PCR for HER1-HER4 gene expression.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.