From: GraphTar: applying word2vec and graph neural networks to miRNA target prediction
Model name | Balanced ACC | Precision | Recall |
---|---|---|---|
DeepMirTar | 0.815 (0.811â0.819) | 0.817 (0.812â0.821) | 0.815 (0.811â0.819) |
miRAW | 0.902 (0.898â0.907) | 0.902 (0.897â0.908) | 0.902 (0.898â0.907) |
miTAR | 0.927 (0.923â0.932) | 0.928 (0.924â0.932) | 0.927 (0.923â0.932) |
GraphTarGCN | 0.904 (0.899â0.909) | 0.905 (0.899â0.91) | 0.905 (0.899â0.91) |
GraphTarGAT | 0.922 (0.917â0.927) | 0.923 (0.917â0.928) | 0.922 (0.917â0.927) |
GraphTarSAGE | 0.915 (0.909â0.922) | 0.916 (0.909â0.923) | 0.915 (0.909â0.922) |