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
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- Uploaded via: twine/4.0.2 CPython/3.10.0
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