Table 2.
Performance measures from novel miRNA prediction using the Mirnovo algorithm.
| Sample ID | Tissue | Performance Measures | Predicted miRNAs | ||
|---|---|---|---|---|---|
| Sensitivity (%) TP/P | Specificity (%) TN/N | Precision (%)* TP/(TP + FP) | Novel predictions (%) FP/(TP + FP) | ||
| Limb1 | Forelimb Distal Cyclic Domain | 59.18 | 96.35 | 52.25 | 47.75 |
| Limb2 | 44.06 | 95.00 | 44.53 | 55.47 | |
| Limb3 | 58.40 | 96.40 | 55.35 | 44.65 | |
| PSM_D1 | Determined Presomitic Mesoderm | 59.40 | 97.24 | 52.21 | 47.79 |
| PSM_D2 | 52.03 | 97.19 | 52.56 | 47.44 | |
| PSM_D3 | 36.79 | 98.21 | 39.12 | 60.88 | |
| PSM_U1 | Undetermined Presomitic Mesoderm | 52.31 | 98.80 | 49.33 | 50.67 |
| PSM_U3 | 54.36 | 98.10 | 47.23 | 52.77 | |
*The precision metric reported by Mirnovo represents the proportion of known miRNAs (annotated in miRBAse) relative to the total known (True Positives) plus novel predicted (False Positives)21.