Corvo: Visualizing CellxGene Single-Cell Datasets in Virtual Reality
The CellxGene project has enabled access to single-cell data in the scientific community, providing tools for browsed-based no-code analysis of more than 500 annotated datasets. However, single-cell data requires dimensional reduction to visualize, and 2D embedding does not take full advantage of th...
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Zusammenfassung: | The CellxGene project has enabled access to single-cell data in the
scientific community, providing tools for browsed-based no-code analysis of
more than 500 annotated datasets. However, single-cell data requires
dimensional reduction to visualize, and 2D embedding does not take full
advantage of three-dimensional human spatial understanding and cognition.
Compared to a 2D visualization that could potentially hide gene expression
patterns, 3D Virtual Reality may enable researchers to make better use of the
information contained within the datasets. For this purpose, we present
\emph{Corvo}, a fully free and open-source software tool that takes the
visualization and analysis of CellxGene single-cell datasets to 3D Virtual
Reality. Similar to CellxGene, Corvo takes a no-code approach for the end user,
but also offers multimodal user input to facilitate fast navigation and
analysis, and is interoperable with the existing Python data science ecosystem.
In this paper, we explain the design goals of Corvo, detail its approach to the
Virtual Reality visualization and analysis of single-cell data, and briefly
discuss limitations and future extensions. |
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DOI: | 10.48550/arxiv.2212.00519 |