This README documents the necessary steps to set up the running environment for scDGCN.
- scDGCN is a novel learning approach for deep structured clustering of single-cell sequencing data. It aims to provide researchers with a deep learning tool for single-cell clustering tasks.
- Current version: 1.1
- Setting up scDGCN requires an environment with Python 3.8 or newer, along with PyTorch and other necessary machine learning libraries.
- Install all dependencies using pip:
pip install -r requirements.txt. - scDGCN does not require database configuration.
- Since scDGCN is primarily used for research and development, it does not have a specific deployment guide. Please integrate it into your project or workflow as needed.
- Please write appropriate tests for your contributions and ensure all tests pass.
- Submit pull requests for any changes. Project maintainers will review according to the project's coding standards.
- Have any questions or issues related to the repository, please contact: Dr. Binhua Tang (bh.tang@outlook.com).