在单细胞组学数据的2D可视化中不能正确看到什么？

IF 7.7 Cell systems Pub Date : 2023-09-20 DOI:10.1016/j.cels.2023.07.002

Shu Wang, Eduardo D Sontag, Douglas A Lauffenburger

引用次数: 0

摘要

探索单细胞组学数据的一种常见策略是可视化2D非线性投影，旨在保留高维数据属性，如邻域。或者，数学理论和其他计算工具可以直接描述数据几何，同时也表明邻域和其他特性在任何2D投影中都不能很好地保留。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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What cannot be seen correctly in 2D visualizations of single-cell 'omics data?

A common strategy for exploring single-cell 'omics data is visualizing 2D nonlinear projections that aim to preserve high-dimensional data properties such as neighborhoods. Alternatively, mathematical theory and other computational tools can directly describe data geometry, while also showing that neighborhoods and other properties cannot be well-preserved in any 2D projection.

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Cell systems

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