scspecies 0.1.3

scspecies allows users to align latent representations of single-cell datasets from different species.

scspecies

scSpecies is a deep‐learning framework for aligning single‐cell RNA-seq datasets across species.
Built on top of scVI and transfer-learning principles, it learns a shared embedding space that directly matches cell populations from different organisms.

Installation

To install the latest stable release of scSpecies run one of the following commands. scSpecies defines two extras required to run the tutorial notebooks, plotting and notebooks.

.. code-block:: bash

pip install scspecies

After installing, confirm that scSpecies loads:

.. code-block:: bash

python -c "import scspecies; print(scspecies.__version__)"

Documentation

Full API docs, tutorials, and examples are available at: scSpecies Documentation (Read the Docs)

Tutorial Notebooks

Start with running the tutorial notebooks. They can be downloaded from the GitHub repository.