Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP1253924.RAgJ9u-1s9tbg6_fAUfKBx4RhpUpdKrSpwHw6cUaDEPxk#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.
- BEFREE importedOn "2017-02-19" provenance.
- assertion wasGeneratedBy ECO_0000203 provenance.
- assertion wasDerivedFrom BEFREE provenance.
- assertion SIO_000772 1380280 provenance.
- assertion evidence source_evidence_literature provenance.
- assertion description "[The results in different types of leukaemia were (number of patients with detectable mdr1 RNA/total number of patients; median number of transcripts per cell in samples with detectable mdr1 RNA); de novo untreated acute myelocytic leukaemia (AML): 20/44; 0.7, secondary acute myelocytic leukaemia: 8/13; 1.1, acute lymphocytic (ALL) and undifferentiated leukaemia: 5/14; 0.6, relapsed leukaemia: 7/15; 0.7.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.