A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
Project description
pyLemur
The Python implementation of the LEMUR method to analyze multi-condition single-cell data. For the more complete version in R, see github.com/const-ae/lemur. To learn more check-out the function documentation and the tutorial at pylemur.readthedocs.io. To check-out the source code or submit an issue go to github.com/const-ae/pyLemur
Citation
Ahlmann-Eltze C, Huber W (2024). “Analysis of multi-condition single-cell data with latent embedding multivariate regression.” bioRxiv. doi:10.1101/2023.03.06.531268.
Getting started
Installation
You need to have Python 3.9 or newer installed on your system. There are several alternative options to install pyLemur:
Install the latest release of pyLemur
from PyPI:
pip install pyLemur
Alternatively, install the latest development version directly from Github:
pip install git+https://github.com/const-ae/pyLemur.git@main
Documentation
For more information on the functions see the API docs and the tutorial.
Contact
For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.
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