Table 2 Prediction accuracy of piRNAdetect compared against the K-mer scheme and piRPred
From: Effective computational detection of piRNAs using n-gram models and support vector machine
Method | H. sapiens | R. norvegicus | M. musculus | ||||||
|---|---|---|---|---|---|---|---|---|---|
TPR | FPR | ACC (%) | TPR | FPR | ACC (%) | TPR | FPR | ACC (%) | |
piRNAdetect | 0.848 | 0.160 | 84.40 | 0.837 | 0.195 | 82.11 | 0.806 | 0.213 | 79.65 |
K-mer scheme | 0.821 | 0.226 | 79.76 | 0.781 | 0.222 | 77.95 | 0.698 | 0.259 | 71.95 |
piRPred | 0.375 | 0.098 | 63.85 | 0.290 | 0.201 | 54.42 | 0.208 | 0.020 | 59.39 |