Metadata-Version: 2.1
Name: MetaQ-sc
Version: 1.0.5
Summary: The implementation of the paper 'MetaQ: fast, scalable and accurate metacell inference via deep single-cell quantization'. Please refer to the paper and code repository (https://github.com/XLearning-SCU/MetaQ) for more details.
Home-page: https://github.com/XLearning-SCU/MetaQ
Author: Yunfan Li
Author-email: yunfanli.gm@gmail.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: torch ==2.1.1
Requires-Dist: numpy ==1.26.0
Requires-Dist: alive-progress ==3.1.5
Requires-Dist: scanpy ==1.9.6
Requires-Dist: scipy ==1.11.3
Requires-Dist: scikit-learn ==1.1.3
Provides-Extra: for_geometric_codebook_initialization
Requires-Dist: geosketch ==1.2 ; extra == 'for_geometric_codebook_initialization'
Provides-Extra: for_kmeans_codebook_initialization
Requires-Dist: faiss-gpu ==1.7.4 ; extra == 'for_kmeans_codebook_initialization'

The implementation of the paper 'MetaQ: fast, scalable and accurate metacell inference via deep single-cell quantization'. Please refer to the paper and code repository (https://github.com/XLearning-SCU/MetaQ) for more details.
