Nature Communications (Nov 2019)

The art of using t-SNE for single-cell transcriptomics

  • Dmitry Kobak,
  • Philipp Berens

DOI
https://doi.org/10.1038/s41467-019-13056-x
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 14

Abstract

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t-SNE is widely used for dimensionality reduction and visualization of high-dimensional single-cell data. Here, the authors introduce a protocol to help avoid common shortcomings of t-SNE, for example, enabling preservation of the global structure of the data.