Figure 6.

mirSVR performance on non-canonical sites. (a) A summary of the AUC scores for the Linsley et al. (brown) and Selbach et al. (orange) data sets. ROC analysis was performed on the most downregulated targets with log expression change of Z-score ≤ -1 (true positive) and the least regulated targets with Z-score ≥ 1 (true negative) for all sites, canonical sites only and non-canonical sites only. Note that two experiments were excluded due to low number of false positive and false negative examples. In all but one experiment the AUC values for non-canonical sites are above 0.5, indicating better than random detection. (b) A cumulative distribution function (CDF) plot of the mirSVR scores of the CLIP-identified non-canonical sites (true sites) and all other non-canonical sites predicted in the same 3' UTRs (false sites). The significant shift in the CDF for targets identified by the CLIP method indicates that mirSVR scores can identify a subset of the efficient non-canonical sites.