sub:provenance {
sub:assertion dcterms:description "[In this study, we focus on the transcriptome difference among PTCs, ATCs and normal tissue from a published dataset including 45 normal tissues, 49 PTCs and 11 ATCs, by applying a machine learning method, maximum relevance minimum redundancy, and identified 9 genes (BCL2, MRPS31, ID4, RASAL2, DLG2, MY01B, ZBTB5, PRKCQ and PPP6C) and 1 miscRNA (miscellaneous RNA, LOC646736) as important candidates involved in the progression of thyroid cancer.]. 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:24718460 ;
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 .
}