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scevow: Excellent optimization of variant function mapping through weighted random walks at single-cell resolution

Project description

scevow

scevow: Excellent optimization of variant function mapping through weighted random walks at single-cell resolution

scevow: 通过单细胞分辨率下的加权随机游走对突变功能映射进行优化

1. 介绍

2. 上传

upload

test

python3 -m build
twine check dist/*
twine upload --repository testpypi dist/*

production

python3 -m build
twine check dist/*
twine upload dist/*

3. 使用

vim ~/.bashrc
export OMP_NUM_THREADS=1
export OPENBLAS_NUM_THREADS=1
source ~/.bashrc

test

pip3 install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
pip3 install scLift -i https://test.pypi.org/simple/

production

pip3 install scLift

Project details


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  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.0

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