Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP1068652.RA8kHAn7ObY7ehKiF3iXKA9pIo7JfKxkBgL2DoV26ghl0#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 "[The tumor suppressors Pten and p53 are frequently lost in breast cancer, yet the consequences of their combined inactivation are poorly understood.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
- assertion evidence source_evidence_literature provenance.
- assertion SIO_000772 25330770 provenance.
- assertion wasDerivedFrom BEFREE provenance.
- assertion wasGeneratedBy ECO_0000203 provenance.
- BEFREE importedOn "2017-02-19" provenance.