The codes and documentation for my BSc project in the area of Cancer Genomics
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README.md 696B

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  1. ## Train Mogonet
  2. Having created the input matrices, we should feed the data to Mogonet architecture. Following these steps:
  3. 1. Clone the repository: (preferably in Colab or a server with GPU available)
  4. ```bash
  5. git clone https://github.com/txWang/MOGONET.git
  6. ```
  7. 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`.
  8. 3. Run `main_mogonet.py` to train the network and store the model
  9. 4. Run `main_biomarker.py` to evaluate the feature importances and extract biomarkers from the model.
  10. ### Alternative approach
  11. Or you can configurate the `runner.py` code and run it.