semvec/pypi-packages huggingface dataset:
scegot 0.3.0
single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport
License: MIT
Requires Python: <3.20,>=3.11

# scEGOT

[![Downloads](https://static.pepy.tech/badge/scegot)](https://pepy.tech/project/scegot)

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

![Fig_scEGOT_abstract](https://github.com/yachimura-lab/scEGOT/assets/87163501/83a42b90-6cb4-402a-87d0-65815c44962c)

## Installation

```sh
$ pip install scegot
```

## Requirements

- Python3
- 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/).

## Paper

Please see the following paper:
[Yachimura, T. et al. scEGOT: single-cell trajectory inference framework based on entropic Gaussian mixture optimal transport. BMC Bioinformatics 25, 388 (2024).](https://doi.org/10.1186/s12859-024-05988-z)