dgn-np:NP1216130.RAwaEBLmqfCbNxGSe9qq5IDxbuKZKJvX5X2nnhkfmJqoI130_provenance {
  dgn-np:NP1216130.RAwaEBLmqfCbNxGSe9qq5IDxbuKZKJvX5X2nnhkfmJqoI130_assertion dcterms:description "[The data sets used in our experiments are breast cancer, central nervous system, colon tumor, prostate cancer, acute lymphoblastic leukemia, and lung cancer. experimental results showed that our node influence based method (NIM) is more efficient and robust than the support vector machine, K-nearest neighbor, C4.5, naive Bayes, and CART.]. 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:25180045 ;
    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 .
}