| ## 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. |