Table 5.
The performances of PredLnc-GFStack models on multi-species testing datasets.
| Training Dataset | Testing Dataset | AUC | ACC | SN | SP | PRE | F1 |
|---|---|---|---|---|---|---|---|
| Human-Main | Human-Testing | 0.995 | 0.968 | 0.962 | 0.974 | 0.973 | 0.967 |
| Mouse-Testing | 0.987 | 0.941 | 0.879 | 0.981 | 0.968 | 0.921 | |
| Integrated-Testing | 0.985 | 0.907 | 0.831 | 0.982 | 0.979 | 0.899 | |
| Zebrafish-Testing | 0.971 | 0.901 | 0.772 | 0.989 | 0.980 | 0.863 | |
| Fruit-fly-Testing | 0.992 | 0.940 | 0.714 | 0.993 | 0.962 | 0.819 | |
| S.cerevisiae-Testing | 0.983 | 0.960 | 0.828 | 0.969 | 0.621 | 0.710 | |
| Mouse-Main | Human-Testing | 0.977 | 0.887 | 0.807 | 0.964 | 0.955 | 0.875 |
| Mouse-Testing | 0.995 | 0.944 | 0.869 | 0.992 | 0.985 | 0.924 | |
| Integrated-Testing | 0.984 | 0.871 | 0.757 | 0.985 | 0.981 | 0.855 | |
| Zebrafish-Testing | 0.971 | 0.843 | 0.626 | 0.991 | 0.979 | 0.764 | |
| Fruit-fly-Testing | 0.990 | 0.917 | 0.593 | 0.994 | 0.957 | 0.733 | |
| S.cerevisiae-Testing | 0.964 | 0.942 | 0.382 | 0.976 | 0.500 | 0.433 |