Fig. 1From: DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorizationThe LRLSLDA, ncPred, TPGLDA, NTSHMDA and DSCMF methods compare the performance of the AUC and ROC curves based on the ten-fold cross-validation method. It can be seen that the DSCMF method has the best performanceBack to article page