Data-driven assessment of dimension reduction quality for single-cell omics data

Patterns (N Y). 2022 Mar 11;3(3):100465. doi: 10.1016/j.patter.2022.100465.


Dimension reduction (DR) techniques have become synonymous with single-cell omics data due to their ability to generate attractive visualizations and enable analyses of high-dimensional data. In this issue of Patterns, Johnsona et al. develop a statistical approach to assist in selecting high-quality reduced representations to improve analyses and biological interpretations.

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