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28 lines (27 loc) · 928 Bytes
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from setuptools import setup, find_packages
setup(
name="mcmcscreen",
version="0.1.0",
author="Dohoon Kim",
author_email="dkim@promptgenix.org",
description="Uncertainty-aware drug candidate screening via Bayesian MCMC with permanent Arweave archiving",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
url="https://github.com/kdh4win4/mcmcscreen",
packages=find_packages(),
python_requires=">=3.8",
install_requires=[
"pymc>=5.0",
"arviz>=0.16",
"numpy>=1.24",
"scipy>=1.10",
"requests>=2.28",
],
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Scientific/Engineering :: Medical Science Apps.",
],
)