@prefix this: . @prefix sub: . @prefix rdfs: . @prefix xsd: . @prefix sio: . @prefix lld: . @prefix miriam-gene: . @prefix miriam-pubmed: . @prefix eco: . @prefix wi: . @prefix prov: . @prefix pav: . @prefix prv: . @prefix dcterms: . @prefix np: . @prefix dgn-gda: . @prefix dgn-void: . sub:head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:publicationInfo; a np:Nanopublication . } sub:assertion { dgn-gda:DGNf2f02b20414d949caa79c319bce5e170 sio:SIO_000628 miriam-gene:1084, lld:C0279626; a sio:SIO_001122 . } sub:provenance { sub:assertion dcterms:description "[The YKL-40 and SCCA combination was better for diagnosing ESCC (Sen: 82.00%, Spe: 79.37%, PPV: 82.55 and NPV: 78.74; AUC = 0.917) than the YKL-40 and CEA combination (Sen: 74.00%, Spe: 83.20%, PPV: 84.09 and NPV: 72.73; AUC = 0.877), the YKL-40 and CYFRA21-1 combination (Sen: 82.00%, Spe: 77.78%, PPV: 81.46% and NPV: 78.40%; AUC = 0.897) or the CEA, CYFRA21-1 and SCCA combination (Sen: 56.67%, Spe: 84.80%, PPV: 81.73 and NPV: 61.99; AUC = 0.831).]. 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:25001061; prov:wasDerivedFrom dgn-void:BEFREE; prov:wasGeneratedBy eco:ECO_0000203 . dgn-void:BEFREE pav:importedOn "2017-02-19"^^xsd:date . dgn-void:source_evidence_literature a eco:ECO_0000212; rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en; rdfs:label "DisGeNET evidence - LITERATURE"@en . } sub:publicationInfo { this: dcterms:created "2017-10-17T13:11:33+02:00"^^xsd:dateTime; dcterms:rights ; dcterms:rightsHolder dgn-void:IBIGroup; dcterms:subject sio:SIO_000983; prv:usedData dgn-void:disgenetv3.0rdf; pav:authoredBy , , , , ; pav:createdBy ; pav:version "v5.0.0.0" . dgn-void:disgenetv3.0rdf pav:version "v5.0.0" . }