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http://rdf.disgenet.org/nanopublications.trig#NP596365.RALR99XB59HCaANxrt24uKodj8luYVHAZd88WB7l4PHZ4
> .
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http://www.w3.org/2000/01/rdf-schema#
> .
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http://www.w3.org/2001/XMLSchema#
> .
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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/eco.owl#
> .
@prefix wi: <
http://purl.org/ontology/wi/core#
> .
@prefix prov: <
http://www.w3.org/ns/prov#
> .
@prefix pav: <
http://purl.org/pav/2.0/
> .
@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/nanopublications.trig#
> .
@prefix dgn-gda: <
http://rdf.disgenet.org/gene-disease-association.ttl#
> .
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http://rdf.disgenet.org/v2.1.0/void.ttl#
> .
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{
this:
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np:hasProvenance
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np:hasPublicationInfo
dgn-np:NP596365.RALR99XB59HCaANxrt24uKodj8luYVHAZd88WB7l4PHZ4130_publicationInfo
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a
np:Nanopublication
.
dgn-np:NP596365.RALR99XB59HCaANxrt24uKodj8luYVHAZd88WB7l4PHZ4130_assertion
a
np:Assertion
.
dgn-np:NP596365.RALR99XB59HCaANxrt24uKodj8luYVHAZd88WB7l4PHZ4130_provenance
a
np:Provenance
.
dgn-np:NP596365.RALR99XB59HCaANxrt24uKodj8luYVHAZd88WB7l4PHZ4130_publicationInfo
a
np:PublicationInfo
.
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{
miriam-gene:4067
a
ncit:C16612
.
lld:C0029925
a
ncit:C7057
.
dgn-gda:DGN0c27b62ea3ab01d9662aa2ff67477fd9
sio:SIO_000628
miriam-gene:4067
,
lld:C0029925
;
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.
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dgn-np:NP596365.RALR99XB59HCaANxrt24uKodj8luYVHAZd88WB7l4PHZ4130_provenance
{
dgn-np:NP596365.RALR99XB59HCaANxrt24uKodj8luYVHAZd88WB7l4PHZ4130_assertion
dcterms:description
"[We also show that these 17 genes can be used to form an ovarian cancer signature, to distinguish normal from ovarian cancer subjects and that the set of three genes, CHEK1, AR, and LYN, can be used to classify good and poor prognostic tumors.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en ;
wi:evidence
dgn-void:source_evidence_literature
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sio:SIO_000772
miriam-pubmed:23383610
;
prov:wasDerivedFrom
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prov:wasGeneratedBy
eco:ECO_0000203
.
dgn-void:befree-20140225
pav:importedOn
"2014-02-25"^^
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
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dgn-np:NP596365.RALR99XB59HCaANxrt24uKodj8luYVHAZd88WB7l4PHZ4130_publicationInfo
{
this:
dcterms:created
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xsd:dateTime
;
dcterms:rights
<
http://opendatacommons.org/licenses/odbl/1.0/
> ;
dcterms:rightsHolder
dgn-void:IBIGroup
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dcterms:subject
sio:SIO_000983
;
prv:usedData
dgn-void:disgenetrdf
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pav:authoredBy
<
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> , <
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> , <
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> , <
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http://orcid.org/0000-0003-1244-7654
> ;
pav:createdBy
<
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