Metadata-Version: 2.1
Name: cmaclp
Version: 0.1.0
Summary: Corneal meta-atlas command line predictor
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: setuptools (<=57.5.0)
Requires-Dist: wheel
Requires-Dist: python-build
Requires-Dist: pytest-cov
Requires-Dist: h5py
Requires-Dist: numpy (<1.24,>=1.23.3)
Requires-Dist: pandas (>=1.4.4)
Requires-Dist: scikit-learn
Requires-Dist: scanpy (>=1.9.1)
Requires-Dist: importlib-resources

[![CI/CD](https://github.com/Arts-of-coding/cmaclp/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/Arts-of-coding/cmaclp/actions/workflows/ci-cd.yml)
# cma
This repository defines a command-line tool to predict (clp) datasets according to a cell meta-atlas (cma). At the present time only the meta-atlas for the cornea has been implemented.

To see what each of the current functions do you can run these commands:

```
$ conda create -n cmaclp python=3.9 pip
$ conda activate cmaclp
$ pip install cmaclp
```
With an activated environment you can then run:
```
$ SVM_performance --help
$ SVM_prediction --help
$ SVM_import --help
```
The documentation will be extended and improved upon in later versions.
