From: GraphTar: applying word2vec and graph neural networks to miRNA target prediction
Model name | Balanced ACC | Precision | Recall |
---|---|---|---|
DeepMirTar | 0.827 (0.825â0.828) | 0.826 (0.824â0.828) | 0.827 (0.825â0.828) |
miRAW | 0.928 (0.927â0.929) | 0.928 (0.927â0.929) | 0.928 (0.927â0.93) |
miTAR | 0.91 (0.907â0.913) | 0.91 (0.907â0.914) | 0.91 (0.907â0.913) |
GraphTarGCN | 0.915 (0.913â0.918) | 0.915 (0.913â0.918) | 0.915 (0.913â0.918) |
GraphTarGAT | 0.921 (0.918â0.922) | 0.921 (0.918â0.922) | 0.921 (0.918â0.922) |
GraphTarSAGE | 0.914 0.912â0.916) | 0.914 (0.912â0.916) | 0.914 (0.912â0.916) |