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from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="nb-transformer",
version="1.0.0",
author="Valentine Svensson",
author_email="valentine.svensson@gmail.com",
description="Fast Negative Binomial GLM parameter estimation using transformers - a DESeq2 replacement",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://huggingface.co/valsv/nb-transformer",
packages=find_packages(),
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
python_requires=">=3.8",
install_requires=[
"torch>=1.10.0",
"pytorch-lightning>=1.8.0",
"numpy>=1.21.0",
"scipy>=1.7.0",
"tensorboard>=2.8.0",
],
extras_require={
"dev": [
"pytest>=6.2.0",
"flake8>=4.0.0",
"black>=21.0.0",
"mypy>=0.910",
],
"analysis": [
"pandas>=1.3.0",
"pyarrow>=5.0.0",
"matplotlib>=3.4.0",
"scikit-learn>=1.0.0",
"statsmodels>=0.13.0",
],
},
entry_points={
"console_scripts": [
"train-nb-transformer=nb_transformer.train:main",
],
},
) |