@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:DGNb917fad7de1deb1457b9d4c373ee8508 sio:SIO_000628 miriam-gene:3553 , lld:C1140680 ; a sio:SIO_001121 . } sub:provenance { sub:assertion dcterms:description "[The logistic regression model revealed the combination of five validated biomarkers (AGPAT1, B2M, BASP2, IER3, and IL1B) can significantly discriminate ovarian cancer patients (n?=?21) from the healthy controls (n?=?35), yielding a receiver operating characteristic plot, area under the curve value of 0.909 with 85.7% sensitivity and 91.4% specificity.]. 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:22095100 ; 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 "2017-10-17T13:13:45+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" . }