This project aims to predict the mechanism of action (MOA) of various drugs using machine learning and deep learning techniques. It leverages gene expression, cell viability data, and other relevant features to develop a predictive model that can assist in drug discovery and development.
- Python 3.8+
- Node.js 14+
Ensure you have pip installed. Then, install the necessary Python packages:
pip install -r requirements.txtNavigate to the project directory and install the necessary Node.js packages:
npm installAfter installing the Python dependencies, start the Flask server:
python server.pyIn another terminal, navigate to the project directory and start the Node.js application:
npm run devExample Code Snippets
Using the Flask API
The frontend provides an interactive interface for users to input data and view predictions. After running npm run dev, visit http://localhost:3000 in your browser to access the application.
Utilizes machine learning models to predict drug MOA.
score on kaggle
training history
score on kaggle
Web application built with Node.js for easy interaction.
We welcome contributions! Please follow these steps:
1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -m 'Add new feature).
4. Push to the branch (git push origin feature-branch).
5. Open a pull request.