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Updated: Feb 10, 2026

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CytoVerse:浏览器中的单细胞AI基础模型
bioRxiv : the preprint server for biology
|February 9, 2026
概括
CytoVerse使用基础模型实现基于浏览器的单细胞RNA测序分析. 这种保护隐私的框架通过处理客户端数据以进行可扩展的分布式分析来避免服务器限制.
科学领域:
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 单细胞RNA测序 (scRNA-seq) 数据分析对于理解细胞异质性至关重要.
- 将scRNA-seq数据集映射到大型图谱中通常受到服务器基础设施和数据隐私方面的限制.
- 现有的方法需要大量的计算资源和集中式数据存储.
研究的目的:
- 推出CytoVerse,这是一个全新的框架,可以在Web浏览器中完全运行scRNA-seq基础模型 (scFM).
- 为了克服与大规模单细胞数据分析相关的服务器限制和隐私问题.
- 为了实现可扩展和保护隐私的分布式单细胞分析.
主要方法:
- 部署使用ONNX进行无服务器客户端计算的scFM模型.
- 实施压缩索引 (IVFPQ) 来直接从客户端搜索大细胞引用 (>2000万个细胞) 的高效搜索.
- 开发一种轻量级协议,在不暴露原始数据的情况下,在研究联盟中安全共享细胞嵌入.
主要成果:
- CytoVerse成功地在浏览器中直接运行复杂的scFM模型,消除了对服务器端处理的需求.
- 该框架使用压缩索引有效地搜索广泛的细胞地图,证明了可扩展性.
- 开发的协议允许合作者在保护隐私的情况下共享分析结果 (嵌入式).
结论:
- CytoVerse为分布式单细胞分析提供了一个可扩展和保护隐私的解决方案.
- 该框架通过消除计算和隐私障碍,实现了对大型单细胞地图的访问民主化.
- 在实现协作和可访问的单细胞数据探索方面,CytoVerse代表了重大进步.
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