A high-performance, memory-efficient R package for integrating gene expression data from single-cell RNA sequencing experiments. GEDI 2.0 implements a unified generative model for interpretable latent embedding of multi-sample, multi-condition single-cell data.
See the full Documentation in the wiki page.
- R >= 4.0.0
- C++ Compiler with C++14 support
- Eigen >= 3.3.0 (linear algebra library)
- OpenMP (optional, for parallelization)
# Install devtools if not already installed
install.packages("devtools")
# Install gedi from GitHub
devtools::install_github("csglab/gedi2")All reproducible code, scripts, and resources used in this project are available at: https://github.com/csglab/gedi2_manuscript
Contributions are welcome! Please:
- Fork the repository
- Create a feature branch
- Submit a pull request
Report bugs and request features at: https://github.com/caglab/gedi2/issues
This project is licensed under the MIT License - see the LICENSE file for details.