Table 2.
Compare the impact of R SCP on protein function prediction.
| Uniref50 | SwissProt | TrEMBL | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| MF | BP | CC | MF | BP | CC | MF | BP | CC | ||
| Predpfam2go | Precision | 0.5568 | 0.6094 | 0.5978 | 0.4861 | 0.532 | 0.5557 | 0.3856 | 0.3482 | 0.3954 |
| Recall | 0.441 | 0.2888 | 0.1747 | 0.6951 | 0.4496 | 0.2255 | 0.6176 | 0.6027 | 0.2255 | |
| F max | 0.4922 | 0.3918 | 0.2704 | 0.5721 | 0.4873 | 0.3208 | 0.4748 | 0.4414 | 0.2872 | |
|
| ||||||||||
| Predweighted | Precision | 0.2979 | 0.2502 | 0.1944 | 0.3514 | 0.2609 | 0.2611 | 0.3472 | 0.2179 | 0.2033 |
| Recall | 0.7805 | 0.6959 | 0.8774 | 0.5946 | 0.6523 | 0.7603 | 0.7917 | 0.7011 | 0.8213 | |
| F max | 0.4312 | 0.3681 | 0.3183 | 0.4417 | 0.3727 | 0.3887 | 0.4827 | 0.3325 | 0.3259 | |
|
| ||||||||||
| Predcombine | Precision | 0.8506 | 0.8622 | 0.7503 | 0.8543 | 0.8577 | 0.7662 | 0.7641 | 0.7939 | 0.835 |
| Recall | 0.6971 | 0.5823 | 0.7655 | 0.56 | 0.4093 | 0.5984 | 0.7662 | 0.6371 | 0.7309 | |
| F max | 0.7662 | 0.6951 | 0.7578 | 0.6765 | 0.5542 | 0.672 | 0.7651 | 0.7069 | 0.7795 | |
The best results are in bold.