iSUMO-RsFPN is a advanced predictor for predicting Lysine SUMO-ylation Sites.
iSUMO-RsFPN requires python=3.9
Below are the Python packages required by iSUMO-RsFPN:
- tensorflow(2.13.0)
- scikit-learn(1.3.0)
- numpy(1.24.3)
- openpyxl(3.1.2)
- pandas(2.0.3)
- Using iSUMO-RsFPN for predicting Lysine SUMO-ylation Sites is easy. You can see the examples in this notebook.
- If you want to repeat the experiment, you can execute the file isumo-rsfpn.ipynb.
- If you want to use different datasets to train a predictor, you can see the file train_predictor.py.