Metadata-Version: 2.1
Name: scotch_sc
Version: 1.0.0
Summary: SCOTCH: Single-Cell multi-modal integration using Optimal Transport and Cell matCHing
Home-page: https://github.com/ZJUFanLab/SCOTCH
Author: Penghui Yang
Author-email: yangph@zju.edu.cn
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pot==0.8.2
Requires-Dist: numpy==1.22.4
Requires-Dist: pandas==1.4.3
Requires-Dist: scikit-learn==1.2.0
Requires-Dist: scipy==1.8.1
Requires-Dist: scanpy==1.9.1
Requires-Dist: anndata==0.7.5
Requires-Dist: igraph==0.10.8
Requires-Dist: louvain==0.7.1
Requires-Dist: matplotlib==3.5.2
Requires-Dist: scikit-misc==0.1.4
Requires-Dist: leidenalg==0.10.0
Requires-Dist: pamona==0.1.0
Requires-Dist: unioncom==0.4.0

SCOTCH is a Python package for the integration of single-cell gene expression and chromatin accessibility data, leveraging the Optimal Transport algorithm and a cell matching strategy. It provides a matching-based unsupervised integration method for exploring cellular regulatory mechanisms.
