Corvo：在虚拟现实中可视化CellxGene单细胞数据集
Corvo: Visualizing CellxGene Single-Cell Datasets in Virtual Reality
摘要：
CellxGene项目使科学界能够访问单细胞数据，为500多个注释数据集提供基于浏览的无代码分析工具。然而，单细胞数据需要降维才能可视化，2D嵌入并没有充分利用三维人类空间理解和认知。与可能隐藏基因表达模式的2D可视化相比，3D虚拟现实可以使研究人员更好地利用数据集中包含的信息。为此，我们提出了\emph{Corvo}，一个完全免费和开源的软件工具，需要可视化和分析CellxGene单细胞数据集的三维虚拟现实。与CellxGene类似，Corvo为最终用户提供了无代码方法，但也提供了多模式用户输入，以促进快速导航和分析，并与现有的Python数据科学生态系统互操作。在本文中，我们解释了Corvo的设计目标，详细介绍了它的单细胞数据的虚拟现实可视化和分析的方法，并简要讨论了局限性和未来的扩展。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
