.. SpatialGlue documentation master file, created by sphinx-quickstart on Thu Sep 16 19:43:51 2021. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Installation ============ Our SpatialEx and SpatialEx+ are developed using the PyTorch framework. Below, we provide instructions for creating a conda environment capable of running our model. Note that the installation of all packages included in file 'requirement.txt' are needed. .. code-block:: python 1) Create conda environment #Create an environment called SpatialEx conda create -n SpatialEx python=3.8 #Activate your environment conda activate SpatialEx #All the packages are included in the requirements.txt file pip install -r requirements.txt #Several important packages are listed below in case you prefer not to install too many packages. #We recommend installing the above Python packages one by one to avoid potential errors. anndata==0.8.0 scanpy==1.9.3 numpy==1.23.5 pandas==2.0.3 cellpose==3.0.10 scikit-image==0.21.0 scikit-learn==1.3.2 scikit-misc==0.2.0 torch==2.3.1 huggingface-hub==0.24.6 timm==1.0.8 torchvision==0.18.1 2) To use the environment in jupyter notebook, add python kernel for this environment. pip install ipykernel python -m ipykernel install --user --name=SpatialEx We have developed an easy-to-use Python package, which can be installed using the following command: .. code-block:: python pip install SpatialEx We provide concrete examples in Tutorials to illustrate this in detail.