Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance>. }
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- source_evidence_literature type ECO_0000212 NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.
- NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_assertion description "[Finally, SLC16A12, GALR2, TOX, SPOCK2, EGFR5 and DPYS are candidate biomarkers for breast cancer (methylation range 33%-79%) with the combination of EGFR5 or TOX hypermethylation showing a sensitivity of 92% and specificity of 92%.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.
- NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_assertion evidence source_evidence_literature NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.
- NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_assertion SIO_000772 18446232 NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.
- NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_assertion wasDerivedFrom befree-2016 NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.
- NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_assertion wasGeneratedBy ECO_0000203 NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.
- befree-2016 importedOn "2016-02-19" NP668564.RAhv5uERBmHpT1BEYbpVZfZOOooFgVM92eNii0F46to-M130_provenance.