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| ## Train Mogonet | |||
| Having created the input matrices, we should feed the data to Mogonet architecture. Following these steps: | |||
| 1. Clone the repository: (preferably in Colab or a server with GPU available) | |||
| ```bash | |||
| git clone https://github.com/txWang/MOGONET.git | |||
| ``` | |||
| 2. Configure the code. To do so, copy the output from previous stage to the `MOGONET` directory and add the directory name and info to `main_biomarker.py` and `main_mogonet.py`. | |||
| 3. Run `main_mogonet.py` to train the network and store the model | |||
| 4. Run `main_biomarker.py` to evaluate the feature importances and extract biomarkers from the model. | |||