Metadata-Version: 2.1
Name: TriTan
Version: 1.1.0
Summary: An efficient triple non-negative matrix factorisation method for integrative analysis of single-cell multiomics data
Home-page: https://github.com/maxxxxxxxin/TriTan
Author: maxxxxxxxin
Author-email: xin.ma@postgrad.manchester.ac.uk
License: MIT Licence
Keywords: pip,TriTan
Platform: UNKNOWN
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: umap-learn
Requires-Dist: hdbscan
Requires-Dist: numexpr

#Overview：TriTan is a Python package that provides an efficient joint factorisation method for single-cell multi-omics data.



