This package provides efficient and scalable handling of flow and mass cytometry data analysis. It provides
Please refer to the documentation. In particular, the
You need to have Python 3.10 or newer installed on your system. If you don't have Python installed, we recommend installing Mambaforge.
There are several alternative options to install pytometry:
pytometry
from PyPI.pip install pytometry
pip install git+https://github.com/scverse/pytometry.git@main
See GitHub releases.
For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.
Pytometry is currently a pre-print on bioRxiv.