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Figure 5 | BMC Bioinformatics

Figure 5

From: MiRPara: a SVM-based software tool for prediction of most probable microRNA coding regions in genome scale sequences

Figure 5

ROC curves for training and test data. ROC curves for training and test data at different ratios of positive to negative data. Level 1 corresponds to a 1:1 ratio of Positive to Negative data, whereas Level 20 refers to a 1:20 ratio of positive to negative data. From left to right curves are shown for Level 1, Level 5, Level 10 & Level 20. Top row: ROC curves for training sets Overall (green), Animal (blue), Plant (red) &Virus (black). Middle Row: ROC curves for 100nt test datasets. Negative datasets comprises sequences that are predicted to form a hairpin loops but which are not in miRBase. Bottom Row: ROC curves for 10000nt test dataset. Positive dataset contains known pre-miRNAs from miRBase which have 5000nt flanking sequences identified by BLASTing against the NCBI nt database. Negative datasets comprises sequences that are predicted to form a hairpin loops but which are not in miRBase and flanking sequences were identified in the same manner.

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