Metadata-Version: 2.1
Name: scegot
Version: 0.1.0
Summary: single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport
Author: Toshiaki Yachimura
Author-email: toshiaki.yachimura.a4@tohoku.ac.jp
Requires-Python: >=3.9,<3.12
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: POT (>=0.9.0,<0.10.0)
Requires-Dist: anndata (==0.8)
Requires-Dist: cellmap (>=1.0.2,<2.0.0)
Requires-Dist: graphviz (>=0.20.1,<0.21.0)
Requires-Dist: ipython (>=8.14.0,<9.0.0)
Requires-Dist: jupyterlab (>=4.0.4,<5.0.0)
Requires-Dist: kaleido (==0.2.1)
Requires-Dist: llvmlite (>=0.40.1,<0.41.0)
Requires-Dist: matplotlib (>=3.7.2,<4.0.0)
Requires-Dist: natsort (>=8.4.0,<9.0.0)
Requires-Dist: networkx (>=3.1,<4.0)
Requires-Dist: pandas (>=2.0.3,<3.0.0)
Requires-Dist: plotly (>=5.15.0,<6.0.0)
Requires-Dist: pydotplus (>=2.0.2,<3.0.0)
Requires-Dist: scikit-learn (>=1.3.0,<2.0.0)
Requires-Dist: scipy (>=1.11.1,<2.0.0)
Requires-Dist: screcode (==0.2.2)
Requires-Dist: scvelo (>=0.2.5,<0.3.0)
Requires-Dist: seaborn (>=0.12.2,<0.13.0)
Requires-Dist: tqdm (>=4.65.0,<5.0.0)
Requires-Dist: umap-learn (>=0.5.3,<0.6.0)
Description-Content-Type: text/markdown

# scEGOT

single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport

## Installation

```
$ pip install scegot
```

## Requirements

- Python3
- pandas
- anndata
- GraphViz

  Click [here](https://graphviz.org/) to learn how to install GraphViz (official documentation).

## Documentation

The tutorial is available [here](https://yachimura-lab.github.io/scEGOT/).

