. . . . . . . "[Furthermore, the 3-miRNA signature (miR-199a, miR-29c, and miR-424) with the highest diagnostic accuracy for distinguishing breast cancer patients from controls by ROC curve analysis (AUC�=�0.888) was successfully confirmed in the validation set (AUC�=�0.901).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en . . . . . "2017-02-19"^^ . . "Gene-disease associations inferred from text-mining the literature."@en . "DisGeNET evidence - LITERATURE"@en . "2017-10-17T13:19:24+02:00"^^ . . . . . . . . . . . "v5.0.0.0" . "v5.0.0" .