huhansan666666/slat repository overview

⁠Tutorial

Tutorial of scSLAT is here⁠, if you have any question please open an issue on github

⁠Installation

⁠Docker

Dockerfile of scSLAT is available at env/Dockerfile⁠. You can also pull the docker image directly from here⁠ by:

docker pull huhansan666666/slat:0.2.1

⁠PyPI

First, we create a clean environment and install scSLAT from PyPI. Then we also need install dependencies for pyg manually. We default install with CUDA 11.7. Please refer here⁠ for CPU version or different CUDA versions.

conda create -n scSLAT python=3.8 -y && conda activate scSLAT
pip install scSLAT
pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.0.0+cu117.html

⁠Development version

For development purpose, clone this repo and install:

git clone [email protected]:gao-lab/SLAT.git
cd SLAT
pip install -e ".[dev,docs]"
pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.0.0+cu117.html