dgn-np:NP689104.RA4Ndjf_xNurZ4m8g3DWQqaXVWcEGsvcgz4cviY3RJTKo130_provenance {
dgn-np:NP689104.RA4Ndjf_xNurZ4m8g3DWQqaXVWcEGsvcgz4cviY3RJTKo130_assertion dcterms:description "[We aimed to refine the breast cancer classification systems by analysing a series of 11 histological special types [invasive lobular carcinoma (ILC), tubular, mucinous A, mucinous B, neuroendocrine, apocrine, IDC with osteoclastic giant cells, micropapillary, adenoid cystic, metaplastic, and medullary carcinoma] using immunohistochemistry and genome-wide gene expression profiling.]. 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:18720457 ;
prov:wasDerivedFrom dgn-void:befree-2016 ;
prov:wasGeneratedBy eco:ECO_0000203 .
dgn-void:befree-2016 pav:importedOn "2016-02-19"^^
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 .
}