The art of using t-SNE for single-cell transcriptomics
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.
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2019-11-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-13056-x |