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setup.py
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setup.py
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"""
setup.py for DigitalCellSorter package
"""
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description=f.read()
setup(
name='DigitalCellSorter',
packages=find_packages(),
version='1.3.7.6',
description='Toolkit for analysis and identification of cell types from heterogeneous single cell RNA-seq data',
long_description_content_type="text/markdown",
long_description=long_description,
include_package_data=True,
author='S. Domanskyi, A. Szedlak, N. T Hawkins, J. Wang, T. Bertus, A. Hakansson, G. Paternostro, C. Piermarocchi',
author_email='[email protected]',
license='MIT License',
url='https://github.com/sdomanskyi/DigitalCellSorter',
download_url='https://github.com/sdomanskyi/DigitalCellSorter/archive/1.3.7.tar.gz',
keywords=['single cell RNA sequencing', 'cell type identification','biomarkers'],
classifiers=[
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'Intended Audience :: Science/Research',
'Intended Audience :: Education',
'Intended Audience :: Developers',
'Intended Audience :: End Users/Desktop',
'Operating System :: MacOS',
'Operating System :: Microsoft :: Windows',
'Operating System :: Unix',
'Topic :: Education',
'Topic :: Utilities',
],
python_requires='>=3',
install_requires=[
'numpy>=1.16.4',
'pandas>=0.24.2',
'patsy>=0.5.1',
'xlrd>=1.2.0',
'openpyxl>=3.0.3',
'tables>=3.5.1',
'scipy>=1.3.0',
'matplotlib>=3.1.0',
'scikit-learn>=0.21.2',
'mygene>=3.1.0',
'plotly>=4.1.1',
'adjustText>=0.7.3'],
zip_safe=False
)