Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/nanopublications.trig#NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance>. }
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- source_evidence_literature type ECO_0000212 NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.
- NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_assertion description "[We show that CINSARC class, AURKA expression, and Genomic Index all outperform the Armed Forces Institute of Pathology (AFIP) grading system in determining the prognosis of patients with GISTs.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.
- NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_assertion evidence source_evidence_literature NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.
- NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_assertion SIO_000772 22167411 NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.
- NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_assertion wasDerivedFrom befree-20140225 NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.
- NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_assertion wasGeneratedBy ECO_0000203 NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.
- befree-20140225 importedOn "2014-02-25" NP160981.RAJ6FJVSGWNzLwRuVVlTdTFwov7IyD3zkMIqNAYlI-HrU130_provenance.