A reproduction of the primer tutorial in deep learning genomics proposed in Nature Genetics (2018) in Pytorch.
For details, please refer to the original notebook here.
src/
├── data
│ ├── accuracy.npy
│ ├── models
│ │ ├── best_model.pt
│ │ └── last_model.pt
│ ├── precision.npy
│ ├── recall.npy
│ ├── test_label.npy
│ ├── test_pred.npy
│ ├── train_loss.npy
│ └── val_loss.npy
├── metrics.py
├── model.py
├── results.ipynb
├── run.py
├── train.py
└── tutorial.py
check here : results.ipynb