Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP349597.RAOwBWU_lb728gEM2VMC6s6XwQnby1kKId_qq4TDntjqQ#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 "[In this work, we aimed to investigate whether the levels of p95HER2 and HER2 can predict response to anti-HER2 therapy in patients with breast cancer.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
- assertion evidence source_evidence_literature provenance.
- assertion SIO_000772 25467182 provenance.
- assertion wasDerivedFrom BEFREE provenance.
- assertion wasGeneratedBy ECO_0000203 provenance.
- BEFREE importedOn "2017-02-19" provenance.