Table S4. Comparison between PHENOstruct vs. other methods only leaf terms.
Subontology | Method | F-max | Precision | Recall | mac-AUC |
---|---|---|---|---|---|
Organ | PhenoPPIOrth | 0.03 | 0.05 | 0.03 | 0.51 |
Struct->Dis->HPO | 0.01 | 0.01 | 0.02 | 0.50 | |
Binary SVMs | 0.20 | 0.19 | 0.22 | 0.66 | |
Clus-HMC-Ens | 0.08 | 0.04 | 0.31 | 0.64 | |
PHENOstruct | 0.30 | 0.21 | 0.50 | 0.77 | |
Inheritance | PhenoPPIOrth | 0.11 | 0.15 | 0.09 | 0.55 |
Struct->Dis->HPO | 0.01 | 0.01 | 0.02 | 0.46 | |
Binary SVMs | 0.69 | 0.62 | 0.78 | 0.71 | |
Clus-HMC-Ens | 0.72 | 0.63 | 0.84 | 0.73 | |
PHENOstruct | 0.74 | 0.68 | 0.82 | 0.74 | |
Onset | PhenoPPIOrth | 0.19 | 0.20 | 0.17 | 0.52 |
Struct->Dis->HPO | 0.03 | 0.02 | 0.14 | 0.49 | |
Binary SVMs | 0.29 | 0.21 | 0.47 | 0.62 | |
Clus-HMC-Ens | 0.28 | 0.21 | 0.43 | 0.58 | |
PHENOstruct | 0.35 | 0.28 | 0.48 | 0.68 |
The performance is evaluated by using the exact annotations (i.e. only leaf terms) as ground truth. In other words, true-path rule is not applied. Performance is presented using macro AUC and protein-centric F-max, Precision and Recall as defined above.