From: GraphTar: applying word2vec and graph neural networks to miRNA target prediction
Model name | Balanced ACC | Precision | Recall |
---|---|---|---|
DeepMirTar | 0.875 (0.874â0.876) | 0.877 (0.875â0.878) | 0.875 (0.874â0.876) |
miRAW | 0.938 (0.937â0.939) | 0.939 (0.938â0.94) | 0.938 (0.937â0.939) |
miTAR | 0.939 (0.938â0.941) | 0.94 (0.939â0.942) | 0.939 (0.938â0.941) |
GraphTarGCN | 0.915 (0.934â0.937) | 0.916 (0.935â0.938) | 0.915 (0.934â0.937) |
GraphTarGAT | 0.948 (0.947â0.949) | 0.949 (0.947â0.95) | 0.948 (0.947â0.949) |
GraphTarSAGE | 0.94 (0.939â0.941) | 0.941 (0.939â0.942) | 0.94 (0.939â0.941) |