Metadata-Version: 2.1
Name: scConGraph
Version: 0.1.16
Summary: A scalable cross-time Context Graph model for reconstructing tumor cell dynamic responses from single-cell perturbation transcriptomics.
Home-page: https://github.com/Li-Xinqi/scConGraph.git
Author: Xinqi Li
Author-email: lxq19@mails.tsinghua.edu.cn
License: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: network
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: seaborn
Requires-Dist: scipy
Requires-Dist: scanpy
Requires-Dist: community

# scConGraph: a scalable cross-time Context Graph model
scConGraph is a scalable bi-layer graph model that efficiently **integrates cross-time context information**, enabling the comprehensive analysis of **tumor cell dynamic responses** from **paired perturbed or time-seiries single-cell transcriptomics**.

<p align="center">
  <img width="800"  src="https://github.com/Li-Xinqi/scConGraph/assets/53567070/bf948041-ed83-4df8-b487-ebe81c6e9a43">
</p>

## System requirements
scConGraph is now available for Linux, with a Windows version planned for recent release. scConGraph requires only a standard computer with enough RAM to perform in-memory computations.

## Installation
CINEMA-OT requires `python` version 3.7+.  Install directly from pip with:

    pip install scConGraph
    
The LINE toolkit achieved in LINUX version should be downloaded and installed from https://github.com/tangjianpku/LINE.git before using scConGraph. 

## Tutorial
The vignette of `scConGraph` can be found in the project [wiki](https://github.com/Li-Xinqi/scConGraph/wiki).
