Unsupervised Deep Disentangled Representation of Single-Cell Omics
Project description
DRVI
Unsupervised Deep Disentangled Representation of Single-Cell Omics
Getting started
Please refer to the documentation. In particular, the
- Tutorials, specially
- A demo of how to train DRVI and interpret the latent dimensions.
- API documentation, specially
System requirements
We recommend running DRVI on a recent Linux distribution. DRVI is actively tested on the latest LTS version of Ubuntu (currently 24.04 LTS).
For optimal performance, we highly recommend using a GPU with CUDA capabilities. While CPU-based systems are supported, GPU-powered systems are strongly recommended for optimal performance.
Installation
You need to have Python (versions 3.10 to 3.14 supported) installed on your system. If you don't have Python installed, we recommend installing uv.
There are several alternative options to install drvi:
- Install the latest release of
drvi-pyfrom PyPI, which should take around two minutes:
pip install drvi-py
- Install the latest development version:
pip install git+https://github.com/theislab/drvi.git@main
Please be sure to install a version of PyTorch that is compatible with your GPU.
Dependencies are installed automatically, please take a look at the versions for different dependencies in pyproject.toml if needed.
Release notes
See the changelog.
Contact
For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.
Citation
If DRVI is helpful in your research, please consider citing the following paper:
Moinfar, A. A. & Theis, F. J. Unsupervised deep disentangled representation of single-cell omics. bioRxiv 2024.11.06.622266 (2024) doi:10.1101/2024.11.06.622266.
Reproducibility
Code, notebooks, and instructions to reproduce the results from the paper are available at the reproducibility repository.
Project details
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