Metadata-Version: 2.1
Name: STCC
Version: 1.0.3
Summary: consensus clustering enhances spatial domain detection for spatial transcriptomics data.
Home-page: https://github.com/hucongcong97/STCC
Author: congconghu
Author-email: 2578073006@qq.com
License: MIT
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: cvxopt
Requires-Dist: scipy
Requires-Dist: seaborn

# STCC
STCC is a novel **consensus clustering framework** designed for **spatial transcriptomics data**, which enhances spatial domain detection by integrating outcomes from various state-of-the-art tools using consensus strategies such as **Average-based**, **Onehot-based**,**Hypergraph-based**, and **wNMF-based** methods. 

The algorithms implemented by STCC are:

* **Average-based**
* **Onehot-based**
* **wNMF-based**

# Installation

Install STCC via PyPI by running

```
pip install STCC==1.0.3
```

# Tutorial

Access our documentation via [github](https://github.com/hucongcong97/STCC) for installation, tutorials, examples, and more.
