Table 4.
Maximum F-measure () scores for precision and recall (PR) curves obtained with DomFun using the Pathway Prediction Performance benchmark procedure
| Domains classification | FA | Association + combination methods | |||
|---|---|---|---|---|---|
| HyI+Fis | PCC+Sto | Jac+Sto | Sim+Sto | ||
| values from PR curves (domains-FunFys associations from UniProt proteins) | |||||
| FunFams | GOMF | 0.779 | 0.749 | 0.749 | 0.850 |
| GOBP | 0.643 | 0.604 | 0.604 | 0.714 | |
| GOCC | 0.750 | 0.704 | 0.704 | 0.824 | |
| KEGG | 0.730 | 0.730 | 0.730 | 0.822 | |
| Reactome | 0.762 | 0.680 | 0.663 | 0.822 | |
| Superfamilies | GOMF | 0.241 | 0.370 | 0.373 | 0.139 |
| GOBP | 0.196 | 0.291 | 0.305 | 0.089 | |
| GOCC | 0.266 | 0.221 | 0.217 | 0.129 | |
| KEGG | 0.132 | 0.340 | 0.271 | 0.494 | |
| Reactome | 0.127 | 0.344 | 0.327 | 0.081 | |
The best performing methods for each domain/annotation source combination are indicated in bold
FA Functional annotation, HyI hypergeometric index, PCC Pearson correlation coefficient, Jac Jaccard index, Sim Simpson index, Sto Stouffer’s method, Fis Fisher’s method