Dataset wrapper classes provide functionality for adding in-memory or local data objects to datasets when rendering Vitessce as a Jupyter widget.
We provide default wrapper class implementations for data formats used by popular single-cell and imaging packages.
To write your own custom wrapper class, create a subclass
of the AbstractWrapper class, implementing the
getter functions for the data types that can be derived from your object.
.. automodule:: vitessce.wrappers :members:
.. automodule:: vitessce.export :members:
.. automodule:: vitessce.data_utils.ome :members:
.. automodule:: vitessce.data_utils.anndata :members: