Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP892106.RATFq0rAS1JTbAHSDo8-bGISDqe77N_Ouyj4WEly0Zyq8#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 multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
- assertion evidence source_evidence_literature provenance.
- assertion SIO_000772 17728339 provenance.
- assertion wasDerivedFrom GAD provenance.
- assertion wasGeneratedBy ECO_0000203 provenance.
- GAD importedOn "2017-02-21" provenance.