Figure 8.

piRNA prediction results. The ROC curves in Figure 7 are zoomed in to match the FPR range shown in Figure 5. The ROC curves for FLD-based classifiers are generated from observed prediction results on our test dataset with the threshold varying from -0.2 to 0.46 in increments of 0.001. (-0.2 and 0.46 are the lower and upper bounds of the observed predicted values of FLD-based classifiers.) .) FLD_1 classifier was trained with the dataset used in [29] while FLD_2 used our training dataset. McRUM and SVM results are the same as shown in Figure 5.)