FIGURE 2.

LION’s performance in predicting lncRNA-disease associations for three broad groups of diseases. For each, three receiver operating characteristic (ROC) curves are shown: (1) LION, (2) TPGLDA, a current state-of-the-art method for lncRNA-disease association prediction, (3) randomized network generated with node label shuffling as a negative control. Area under the ROC curve (AUC) values are listed for each ROC curve. (A) ROC plot for cardiovascular disease. (B) ROC plot for cancers. (C) ROC plot for neurological and psychiatric diseases.