Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/nanopublications.trig#NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance>. }
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- source_evidence_literature type ECO_0000212 NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.
- NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_assertion description "[In the high level of gain regions, GSDMDC1, RECQL4, TP73, ABCF3, ALG3, HDAC9, ESRRA, and RPS6KA4 were significantly correlated with cervical cancer.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.
- NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_assertion evidence source_evidence_literature NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.
- NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_assertion SIO_000772 17504382 NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.
- NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_assertion wasDerivedFrom befree-20140225 NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.
- NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_assertion wasGeneratedBy ECO_0000203 NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.
- befree-20140225 importedOn "2014-02-25" NP705220.RAtYNATkWjbg9WFcfi29G83xYFJLt0UCkQAg3Jdf5Bbes130_provenance.