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DANCE documentation
===================
**DANCE** is a Python toolkit to support deep learning models for analyzing
single-cell gene expression at scale. It includes three modules at present:
#. **Single-modality analysis**
#. **Single-cell multimodal omics**
#. **Spatially resolved transcriptomics**
Our goal is to build up a deep learning community for single-cell analysis and
provide GNN based architectures for users to further develop in single-cell
analysis.
Getting started
---------------
To install the DANCE package, first make sure you have correctly set up
dependencies such as
`PyTorch `_,
`PyG `_, and
`DGL `_.
Then, simply install the DANCE package from
`PyPI `_ via
.. code-block:: bash
pip install pydance
Alternatively, use our installation script provided in our
`Github `_ repository to setup a `dance`
`conda `_
environment with all necessary dependencies as well as DANCE.
.. code-block:: bash
git clone git@github.com:OmicsML/dance.git && cd dance
source install.sh cu117 # other options are [cpu,cu118]
Finally, you can checkout some
`example scripts `_
we provided to reproduce
some of the experiments from the original papers.
.. toctree::
:maxdepth: 2
:caption: DANCE 2.0
DANCE 2.0/tutorials/tutorial.ipynb
DANCE 2.0/Preprocessing Steps and Available Function Candidates
DANCE 2.0/Search Space of Preprocessing Function Parameters
DANCE 2.0/experiments/index
.. note::
The functions in the :doc:`api/atlas` module are primarily backend APIs for the DANCE 2.0 Platform.
For interactive usage, please visit the `DANCE 2.0 Platform `_.
.. toctree::
:maxdepth: 2
:caption: Modules
modules/single_modality
modules/multi_modality
modules/spatial
.. toctree::
:maxdepth: 1
:caption: API Reference
api/data
api/datasets
api/transforms
api/transforms.graph
api/search
api/atlas
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`