vipcca 0.2.5

single cell integration

VIPCCA

Installation

• Create conda environment

  $ conda create -n vipcca python=3.8
  $ conda activate vipcca
  

• Install VIPCCA from pypi

  $ pip install vipcca
  

• Alternatively, install the develop version of VIPCCA from GitHub source code

  $ git clone https://github.com/jhu99/vipcca.git
  $ cd ./viocca/
  $ 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, then follow our guide about the usage of scbean in the tutorial and documentation pages here.