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setup.py
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setup.py
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from setuptools import setup
setup(
name='Topyfic', # the name of your package
packages=['Topyfic'], # same as above
version='v0.4.16', # version number
license='MIT', # license type
description='Topyfic is a Python package designed to identify reproducible latent dirichlet allocation (LDA) '
'using leiden clustering and harmony for single cell epigenomics data',
# short description
author='Narges Rezaie', # your name
author_email='[email protected]', # your email
url='https://github.com/mortazavilab/Topyfic', # url to your git repo
download_url='https://github.com/mortazavilab/Topyfic/archive/refs/tags/v0.4.16.tar.gz', # link to the tar.gz file associated with this release
keywords=['Cellular Programs', 'Latent Dirichlet allocation', 'single-cell multiome', 'single-cell RNA-seq',
'gene regulatory network', 'Topic Modeling', 'single-nucleus RNA-seq'], #
python_requires='>=3.9',
install_requires=[ # these can also include >, <, == to enforce version compatibility
'pandas>=1.4.4', # make sure the packages you put here are those NOT included in the base python distribution
'scikit-learn>=0.24.2',
'pytest',
'leidenalg',
'setuptools',
'anndata>=0.9.2',
'click>=8.0.4',
'gseapy>=1.0.5',
'joblib>=1.3.2',
'matplotlib>=3.7.2',
'networkx>=2.8.4',
'numpy>=1.24.4',
'reactome2py>=3.0.0',
'scanpy>=1.9.5',
'scikit_learn>=1.3.0',
'scipy>=1.11.2',
'seaborn>=0.11.2',
'statsmodels>=0.14.0',
'adjustText>=0.8',
'PyYAML>=6.0.1',
'click>=8.1.7',
'umap',
'obonet',
'plotly',
'h5py',
],
classifiers=[ # choose from here: https://pypi.org/classifiers/
'Development Status :: 3 - Alpha',
'Intended Audience :: Science/Research ',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.10',
],
)