Metadata-Version: 2.1
Name: scLift
Version: 0.0.57
Summary: scevow: Excellent optimization of variant function mapping through weighted random walks at single-cell resolution
Author-email: Yu Zhengmin <3236170161@qq.com>
Project-URL: gitee, https://gitee.com/ykenan_yingying/scLift
Keywords: YKenan,Yu Zhengmin,scATAC-seq,Fine-mapping,Single-cell epiomics
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy==1.26.4
Requires-Dist: pandas==1.5.3
Requires-Dist: matplotlib==3.7.1
Requires-Dist: seaborn==0.11.2
Requires-Dist: anndata==0.9.1
Requires-Dist: scipy==1.14.1
Requires-Dist: scanpy==1.9.6
Requires-Dist: scikit-learn==1.5.2
Requires-Dist: networkx==3.3
Requires-Dist: palettable==3.3.3
Requires-Dist: colormap==1.0.4
Requires-Dist: easydev==0.13.2
Requires-Dist: h5py==3.12.1
Requires-Dist: mudata==0.2.3
Requires-Dist: PyComplexHeatmap==1.6.1
Requires-Dist: statannotations==0.6.0
Requires-Dist: magic-impute==3.0.0
Requires-Dist: leidenalg==0.10.2
Requires-Dist: scvi-tools==1.2.0
Requires-Dist: ykenan_file==0.2.6
Requires-Dist: ykenan_log==0.2.2
Requires-Dist: snapatac2>=2.5.3
Requires-Dist: harmonypy==0.0.10
Requires-Dist: gseapy==1.1.3
Requires-Dist: pysam==0.22.1

# 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

```
