Metadata-Version: 2.4
Name: scLift
Version: 0.0.60
Summary: SCIV: Unveiling the pivotal cell types involved in variant function regulation at a single-cell resolution
Project-URL: gitee, https://gitee.com/ykenan_yingying/scLift
Author-email: Zhengmin Yu <yuzmbio@163.com>
License: Copyright (c) 2024 Zhengmin Yu
        
        Permission is hereby granted, free of charge, to any person obtaining a copy of
        this software and associated documentation files (the "Software"), to deal in
        the Software without restriction, including without limitation the rights to
        use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
        of the Software, and to permit persons to whom the Software is furnished to do
        so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Keywords: Fine-mapping,Single-cell epiomics,scATAC-seq,variant
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Requires-Dist: anndata==0.9.1
Requires-Dist: colormap==1.0.4
Requires-Dist: easydev==0.13.2
Requires-Dist: gseapy==1.1.3
Requires-Dist: h5py==3.12.1
Requires-Dist: harmonypy==0.0.10
Requires-Dist: leidenalg==0.10.2
Requires-Dist: magic-impute==3.0.0
Requires-Dist: matplotlib==3.7.1
Requires-Dist: mudata==0.2.3
Requires-Dist: networkx==3.3
Requires-Dist: numpy==1.26.4
Requires-Dist: palettable==3.3.3
Requires-Dist: pandas==1.5.3
Requires-Dist: pycomplexheatmap==1.6.1
Requires-Dist: scanpy==1.9.6
Requires-Dist: scikit-learn==1.5.2
Requires-Dist: scipy==1.14.1
Requires-Dist: scvi-tools==1.2.0
Requires-Dist: seaborn==0.11.2
Requires-Dist: statannotations==0.6.0
Requires-Dist: ykenan-file==0.2.8
Requires-Dist: ykenan-log==0.2.5
Description-Content-Type: text/markdown

# SCIV

> SCIV: Unveiling the pivotal cell types involved in variant function regulation at a single-cell resolution

> SCIV: 以单细胞分辨率揭示参与突变功能调节的关键细胞类型

## 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

```
