epiaster


Nameepiaster JSON
Version 0.0.7 PyPI version JSON
download
home_pagehttps://github.com/BioX-NKU/ASTER
SummaryASTER: accurate estimation of cell-type numbers in single-cell chromatin accessibility data
upload_time2022-12-02 06:18:15
maintainer
docs_urlNone
authorBioX-NKU
requires_python>=3.8.13
licenseMIT Licence
keywords pip aster single-cell
VCS
bugtrack_url
requirements numpy scipy scikit-learn kneed scanpy episcanpy igraph louvain leidenalg tqdm
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ASTER provides an accurate and efficient way to estimate the number of cell types in single-cell chromatin accessibility data. We provide documentation in the form of functional application programming interface documentation, tutorials and example workflows at https://aster.readthedocs.io/en/latest/index.html. All ASTER wheels distributed on PyPI are MIT licensed.

            

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