Installation

Since we are still in the final development process, the package should be installed by cloning the repository and installing it from source (from the project directory). If you are new to cloning repositories, check out this post.

We recommend working in an environment like conda (if not already used with scvi-tools):

conda create -n multiDGD-env python=3.9 # same as for scvi-tools installation
conda activate multiDGD-env

After cloning the repository, navigate to the project directory and install the package by running the following command:

pip install .

Note

The model is compatible with scverse and will soon be installable via pip.

Warning

Please note that the package requires Python version 3.8 or higher.