Also see our distribution on pypi
scSHARP and its dependencies can be installed in a few simple steps:
R package installation¶
Our package utilizes a suite of cutting edge single cell classification tools which we have compiled as an R package. Please install by following instructions here.
Note: the R tools are necessary for running scSHARP
Create a conda environment:¶
conda create -n <env name> python=3.9
conda activate <env name>
scSHARP package install¶
Installing with Pip:¶
Install with Pip if you plan on running R4scSHARP from Python.
pip install scSHARP
conda install pytorch-cluster -c pyg
Installing with conda¶
Install with Conda if you do not plan on running R4scSHARP from Python.
conda install -c lewinsohndp scsharp -c pyg -c conda-forge -c r