From: GO2Vec: transforming GO terms and proteins to vector representations via graph embeddings
Metric | Model | BP | CC | MF |
---|---|---|---|---|
ECC | Resnik | 0.4258 | 0.3444 | 0.4842 |
 | Lin | 0.4217 | 0.3391 | 0.5162 |
 | Jang&Conrath | 0.4114 | 0.2520 | 0.5189 |
 | simGIC | 0.3888 | 0.3503 | 0.5875 |
 | simUI | 0.3818 | 0.3527 | 0.5783 |
 | w2vGO | 0.4204 | 0.3516 | 0.4905 |
 | GO2Vec_mhd_go | 0.4476 | 0.3650 | 0.6715 |
 | GO2Vec_cos_goa | 0.4251 | 0.3507 | 0.6472 |
 | GO2Vec_mhd_goa | 0.4508 | 0.3618 | 0.6792 |
Pfam | Resnik | 0.4507 | 0.4676 | 0.5221 |
 | Lin | 0.3811 | 0.4562 | 0.5149 |
 | Jang&Conrath | 0.2741 | 0.3321 | 0.4503 |
 | simGIC | 0.4383 | 0.4682 | 0.5825 |
 | simUI | 0.4253 | 0.4873 | 0.5504 |
 | w2vGO | 0.4569 | 0.4735 | 0.5436 |
 | GO2Vec_mhd_go | 0.5041 | 0.4902 | 0.4537 |
 | GO2Vec_cos_goa | 0.4916 | 0.4727 | 0.4315 |
 | GO2Vec_mhd_goa | 0.5118 | 0.4975 | 0.4453 |