Table 3 Performance comparison among different methods on public datasets (%)
From: PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions
Dataset | Method | Acc | Pre | Sn | Sp | MCC | AUC |
|---|---|---|---|---|---|---|---|
RPI2241 | PRPI-SC | 87.1 | 85.2 | 89.2 | 85.8 | 74.3 | 94.6 |
IPMiner | 86.1 | 88.2 | 87.7 | 84.1 | 72.4 | 90.6 | |
RPISeq-RF | 85.0 | 86.3 | 86.1 | 83.8 | 70.7 | 69.0 | |
lncPro | 61.6 | 66.9 | 52.9 | 69.5 | 31.0 | 72.2 | |
RPI369 | PRPI-SC | 71.2 | 66.1 | 76.4 | 69.6 | 42.9 | 80.4 |
IPMiner | 70.3 | 72.4 | 72.3 | 72.3 | 42.8 | 77.3 | |
RPISeq-RF | 69.4 | 70.7 | 70.5 | 70.2 | 40.6 | 76.7 | |
lncPro | 50.4 | 71.3 | 70.8 | 69.6 | 40.9 | 74.0 | |
RPI488 | RPPI-SC | 88.3 | 92.2 | 84.3 | 91.8 | 77.1 | 90.5 |
IPMiner | 89.1 | 93.5 | 84.0 | 94.4 | 78.8 | 91.4 | |
RPISeq-RF | 88.3 | 93.5 | 82.8 | 83.6 | 77.2 | 88.3 | |
lncPro | 85.6 | 94.1 | 77.6 | 94.0 | 72.5 | 92.9 | |
RPI1807 | PRPI-SC | 97.0 | 95.7 | 97.9 | 96.6 | 93.8 | 99.3 |
IPMiner | 96.8 | 95.5 | 96.5 | 96.5 | 93.5 | 99.8 | |
RPISeq-RF | 97.0 | 96.2 | 97.0 | 97.6 | 93.8 | 99.6 | |
lncPro | 56.9 | 55.5 | 56.5 | 58.1 | 43.8 | 99.4 |