Installation

We encourage to create a new virtual environment before installing SuperSCC:

conda create -n superscc_env
conda activate superscc_env

To install SuperSCC, you should run the following code if you already get SuperSCC’s tar ball:

pip install SuperSCC.tar.gz

Usually, all dependencies should be downloaded and installed automatically.

To install SuperSCC via GitHub, you can do:

git clone https://github.com/tf1993614/SuperSCC/
cd SuperSCC
python setup.py install

After installing correctly, you can load SuperSCC:

import SuperSCC as scc

Bonus for R person

Since the gene module-relevant functions was also written in R, you can also do the gene module analysis in R environment aftering installing [geneModule](https://github.com/tf1993614/SuperSCC/tree/main/geneModule) R package:

R
install.packages("geneModule_0.1.tar.gz", repos = .libPaths()[1], type = "source")
.libPaths()[1] # get the location where packages are installed
q()