single cell integration
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
vipcca-0.2.5.tar.gz
(2.2 MB
view hashes)
Built Distribution
vipcca-0.2.5-py3-none-any.whl
(17.9 kB
view hashes)