From: SSELM-neg: spherical search-based extreme learning machine for drug–target interaction prediction
Method | Datasets | |||
---|---|---|---|---|
E | GPCR | IC | NR | |
Bigram-PSSM | 0.948 | 0.872 | 0.889 | 0.869 |
iDTI-ESBoost | 0.969 | 0.932 | 0.937 | 0.929 |
NRLMF | 0.987 | 0.969 | 0.989 | 0.950 |
BLM-NII | 0.985 | 0.966 | 0.984 | 0.917 |
SPLCMF | 0.970 | 0.942 | 0.981 | 0.828 |
WNN-GIP | 0.964 | 0.944 | 0.959 | 0.901 |
NetLapRLS | 0.969 | 0.904 | 0.956 | 0.844 |
SELF-BLM | 0.860 | 0.894 | 0.925 | 0.773 |
SSELM-neg | 0.986 | 0.993 | 0.988 | 0.969 |