Metadata-Version: 2.1
Name: vipcca
Version: 0.2.6
Summary: single cell integration
Home-page: https://github.com/jhu99/vipcca
Author: Jialu Hu
Author-email: jialuhu@umich.edu
License: MIT
Description: # VIPCCA
        
         [![Documentation Status](https://readthedocs.org/projects/vipcca/badge/?version=latest)](https://vipcca.readthedocs.io/en/latest/?badge=latest) ![PyPI](https://img.shields.io/pypi/v/vipcca?color=blue) [![Downloads](https://pepy.tech/badge/vipcca)](https://pepy.tech/project/vipcca) ![GitHub Repo stars](https://img.shields.io/github/stars/jhu99/vipcca?color=yellow)
        
        ### Installation
        
        - Create conda environment
        
          ```shell
          $ conda create -n vipcca python=3.8
          $ conda activate vipcca
          ```
        
        - Install VIPCCA from pypi
        
          ```shell
          $ pip install vipcca
          ```
        
        - Alternatively, install the develop version of VIPCCA from GitHub source code
        
          ```shell
          $ git clone https://github.com/jhu99/vipcca.git
          $ cd ./vipcca/
          $ python -m pip install .
          ```
        
        **Note**: Please make sure your python version >= 3.7, and install tensorflow-gpu if GPU is available on your your machine.
        
        ### Usage of vipcca
        
        For a quick start, please first download our test [data](http://141.211.10.196/result/test/papers/vipcca/data.tar.gz), then follow our guide about the usage of VIPCCA in the [**Tutorial and Documentation**](https://vipcca.readthedocs.io/en/latest/) pages.
        
        
        
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
