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Analysis of flow cytometry-based mKeima assays in Python

Project description

mkeima: Analyze flow cytometry-based mKeima assays in Python

Project Status: Active – The project has reached a stable, usable state and is being actively developed.

mkeima is a Python library for the analysis and visualization of data from flow cytometry-based mKeima assays.

Installing mkeima

If you do not already have a Python installation, we recommend installing the Anaconda distribution of Continuum Analytics, which already contains a large number of popular Python packages for Data Science. Alternatively, you can also get Python from the Python homepage.

Note that the mkeima package requires Python version 3.9 or higher.

You can use pip to install mkeima from the Python Package Index

pip install mkeima

To uninstall the mkeima package run the following command:

pip uninstall mkeima

Installation when using Anaconda

If you are using Anaconda, you will need to install the mkeima package into a conda environment. Open the Anaconda navigator, activate the conda environment you want to use, run the "CMD.exe" application to open a terminal, and then use the pip install command as described above.

Future updates

  • Release source code on GitHub, including example data and jupyter notebooks to demonstrate the use of the package.

License

mkeima is licensed under the Apache License 2.0.

Contributors

David M. Hollenstein https://github.com/hollenstein

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