Figure 4
From: TargetSpy: a supervised machine learning approach for microRNA target prediction
Performance evaluation of various prediction approaches on the pSILAC data set. This set contains changes in protein production caused by the five microRNAs miR-1, miR-16, miR-155, miR-30a-5p and let-7b. The first value in each bar represents the number of predicted microRNA-target interactions that are associated with down-regulation (log2-fold change < -0.1) and the second value reports the total number of interactions predicted for the pSILAC set. The value on top of each bar displays the accuracy. White bars with black outlines display the trivial predictors, TargetSpy is represented in orange and other approaches are displayed in black.