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What cannot be seen correctly in 2D visualizations of single-cell 'omics data?
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DOI：10.1016/j.cels.2023.07.002.png)
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Abstract
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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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