@prefix this: <http://rdf.disgenet.org/resource/nanopub/NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix sio: <http://semanticscience.org/resource/> .
@prefix ncit: <http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#> .
@prefix lld: <http://linkedlifedata.com/resource/umls/id/> .
@prefix miriam-gene: <http://identifiers.org/ncbigene/> .
@prefix miriam-pubmed: <http://identifiers.org/pubmed/> .
@prefix eco: <http://purl.obolibrary.org/obo/> .
@prefix wi: <http://purl.org/ontology/wi/core#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix pav: <http://purl.org/pav/> .
@prefix prv: <http://purl.org/net/provenance/ns#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dgn-np: <http://rdf.disgenet.org/resource/nanopub/> .
@prefix dgn-gda: <http://rdf.disgenet.org/resource/gda/> .
@prefix dgn-void: <http://rdf.disgenet.org/v3.0.0/void/> .
dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_head {
  this: np:hasAssertion dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_assertion ;
    np:hasProvenance dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_provenance ;
    np:hasPublicationInfo dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_publicationInfo ;
    a np:Nanopublication .
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  dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_provenance a np:Provenance .
  dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_publicationInfo a np:PublicationInfo .
}
dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_assertion {
  miriam-gene:9687 a ncit:C16612 .
  lld:C0242379 a ncit:C7057 .
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dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_provenance {
  dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_assertion dcterms:description "[The logistic regression model combining five of the mRNA biomarkers (CCNI, EGFR, FGF19, FRS2, and GREB1) could differentiate lung cancer patients from normal control subjects, yielding AUC value of 0.925 with 93.75 % sensitivity and 82.81 % specificity in the pre-validation sample set.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en ;
    wi:evidence dgn-void:source_evidence_literature ;
    sio:SIO_000772 miriam-pubmed:22689099 ;
    prov:wasDerivedFrom dgn-void:befree-20150227 ;
    prov:wasGeneratedBy eco:ECO_0000203 .
  dgn-void:befree-20150227 pav:importedOn "2015-02-27"^^xsd:date .
  dgn-void:source_evidence_literature a eco:ECO_0000212 ;
    rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en ;
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}
dgn-np:NP828803.RAUghnm_ygC-N1CuJYCfCWjDcMFhtPKfdR3xJgautf3XQ130_publicationInfo {
  this: dcterms:created "2015-08-25T14:46:02+02:00"^^xsd:dateTime ;
    dcterms:rights <http://opendatacommons.org/licenses/odbl/1.0/> ;
    dcterms:rightsHolder dgn-void:IBIGroup ;
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