scLift

Name	scLift JSON
Version	0.0.56 JSON
	download
home_page	None
Summary	scevow: Excellent optimization of variant function mapping through weighted random walks at single-cell resolution
upload_time	2024-10-11 07:01:56
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	None
keywords	ykenan yu zhengmin scatac-seq fine-mapping single-cell epiomics
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # 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

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

> production

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

## 3. 使用

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

```

> test

```shell
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

```shell
pip3 install scLift

```

            

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