| Name | mkeima JSON |
| Version |
0.6.0
JSON |
| download |
| home_page | None |
| Summary | Analysis of flow cytometry-based mKeima assays in Python |
| upload_time | 2024-07-07 10:02:10 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | Apache-2.0 |
| keywords |
mkeima
flow cytometry
data analysis
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# mkeima: Analyze flow cytometry-based mKeima assays in Python
[](https://www.repostatus.org/#active)
**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](https://www.continuum.io/downloads) 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](https://www.python.org/downloads/windows).
*Note* that the mkeima package requires Python version 3.9 or higher.
You can use pip to install mkeima from the [Python Package Index](https://pypi.org/)
```
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](http://www.apache.org/licenses/LICENSE-2.0.txt).
## Contributors
David M. Hollenstein https://github.com/hollenstein
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