velovi
Variational inference for RNA velocity. This is an experimental repo for the veloVI model. Installation instructions and tutorials are in the docs. Over the next few months veloVI will move into scvelo.
Getting started
Please refer to the documentation.
Installation
You need to have Python 3.8 or newer installed on your system. If you don't have Python installed, we recommend installing Miniconda.
There are several alternative options to install velovi:
- Install the latest release on PyPI:
pip install velovi
- Install the latest development version:
pip install git+https://github.com/yoseflab/velovi.git@main
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
@article{gayoso2022deep,
title={Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells},
author={Gayoso, Adam and Weiler, Philipp and Lotfollahi, Mohammad and Klein, Dominik and Hong, Justin and Streets, Aaron M and Theis, Fabian J and Yosef, Nir},
journal={bioRxiv},
pages={2022--08},
year={2022},
publisher={Cold Spring Harbor Laboratory}
}
1 maintainer
Release files for velovi 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| velovi-0.3.1.tar.gz | 19.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| velovi-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:37.1 kB
Release files / velovi-0.3.1.tar.gz
| Download URL | velovi-0.3.1.tar.gz |
|---|---|
| Size | 19.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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poetry/1.4.2 CPython/3.9.18 Linux/6.5.0-1015-azure
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Release files / velovi-0.3.1-py3-none-any.whl
| Download URL | velovi-0.3.1-py3-none-any.whl |
|---|---|
| Size | 18.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.4.2 CPython/3.9.18 Linux/6.5.0-1015-azure
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