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. 2017 May 30;45(14):e129. doi: 10.1093/nar/gkx492

Figure 2.

Figure 2.

Performance evaluation of DeBooster on 24 CLIP-seq datasets. (A) The comparisons of the area under receiver operator characteristic curve (AUROC) scores between different prediction approaches via a 10-fold cross-validation procedure. The best prediction result for each dataset is highlighted in bold. (B and C) The receiver operator characteristic (ROC) and precision-recall (PR) curves achieved by DeBooster for all 24 CLIP-seq datasets in the cross-validation results, respectively. (D) Examples of the sequence motifs of the RBP binding targets predicted by DeBooster.