Metadata-Version: 2.1
Name: scez
Version: 0.1.0
Summary: Single Cell Analysis, Easy Mode!
License: MIT
Author: Abe Arab
Author-email: abarbiology@gmail.com
Requires-Python: >=3.9,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: adjustText (>=0.7.3,<0.8.0)
Requires-Dist: adpbulk (>=0.1.4,<0.2.0)
Requires-Dist: anndata (>=0.7.4,<0.8.0)
Requires-Dist: blitzgsea (>=1.3.0,<2.0.0)
Requires-Dist: matplotlib (>=3.7,<4.0)
Requires-Dist: numpy (>=1.17.0,<2.0.0)
Requires-Dist: pandas (>=0.21,<0.22)
Requires-Dist: pydeseq2 (>=0.4.0,<0.5.0)
Requires-Dist: pytdc (>=1.0.0,<2.0.0)
Requires-Dist: seaborn (>=0.12.2,<0.13.0)
Requires-Dist: tqdm
Project-URL: Source, https://github.com/abearab/scez
Description-Content-Type: text/markdown

## scez – single cell, easy mode
[![package](https://github.com/abearab/scez/actions/workflows/main.yml/badge.svg)](https://github.com/abearab/scez/actions/workflows/main.yml)

### Installation
Make sure you have mamba installed in your base environment. If not, install it with:
```bash
conda install mamba -n base -c conda-forge
```
Then, create a new conda environment with the provided `environment.yml` file and activate it. This will install all necessary dependencies for scez.
```bash
conda env create -f environment.yml

conda activate scez
```
Finally, install scez with:

```bash
pip install scez
```

Or, if you want to install the latest version from the repository:
```bash
pip install git+https://github.com/abearab/scez.git
```

