Article

Density-Preserving Data Visualization Unveils Dynamic Patterns of Single-Cell Transcriptomic Variability

2020-05-14

Abstract excerpt

Nonlinear data-visualization methods, such as t-SNE and UMAP, have become staple tools for summarizing the complex transcriptomic landscape of single cells in 2D or 3D. However, existing approaches neglect the local density of data points in the original space, often resulting in misleading visualizations where densely populated subpopulations of cells are given more visual space even if they account for only a sm...

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Literature Corpus work: 037b441b-797c-5c20-96aa-7a96f66d0a9a
DOI: 10.1101/2020.05.12.077776

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