https://github.com/continue-revolution/cs598-cnn-ddi
https://github.com/continue-revolution/cs598-cnn-ddi
Last synced: 11 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/continue-revolution/cs598-cnn-ddi
- Owner: continue-revolution
- Created: 2024-03-25T22:49:34.000Z (about 2 years ago)
- Default Branch: conrevo0
- Last Pushed: 2024-05-01T18:19:26.000Z (about 2 years ago)
- Last Synced: 2025-03-13T05:30:41.970Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 7.57 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# CS598-CNN-DDI
This repository attempts to reproduce *[CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-022-04612-2)*.
Before running any jupyter notebook, do `pip install -r requirements.txt`.
The dataset has been included in the repository. To run training, you do not need to download anything, just run each cell in [training.ipynb](training.ipynb).
To run the final report, click the Colab notebook link in [Final_Report_DL4H_Team_6.ipynb](Final_Report_DL4H_Team_6.ipynb), or [click here](https://colab.research.google.com/drive/1xNVdDYWKPOvQgo88SplV70lBIdmpmYA4?usp=share_link).
You can find all checkpoints we trained [here](https://huggingface.co/conrevo/CS598-CNN-DDI/tree/main).