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- source_evidence_literature type ECO_0000212 NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.
- NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_assertion description "[Taken together, these data strongly suggest that BRCA1-IRIS and/or BDNF/TrkB and NRG1/ErbB2 could serve as rational therapeutic targets for advanced ovarian cancers.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.
- NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_assertion evidence source_evidence_literature NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.
- NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_assertion SIO_000772 25132263 NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.
- NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_assertion wasDerivedFrom befree-2016 NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.
- NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_assertion wasGeneratedBy ECO_0000203 NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.
- befree-2016 importedOn "2016-02-19" NP1211543.RArB4ODSsOgr9giAUyb0EkdEmkxNtG07Aih53iDMwLEEI130_provenance.