Article

Exponential-family embedding with application to cell developmental trajectories for single-cell RNA-seq data

2020-09-25

Abstract excerpt

Scientists often embed cells into a lower-dimensional space when studying single-cell RNA-seq data for improved downstream analyses such as developmental trajectory analyses, but the statistical properties of such non-linear embedding methods are often not well understood. In this article, we develop the eSVD (exponential-family SVD), a non-linear embedding method for both cells and genes jointly with respect to...

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Literature Corpus work: 62cb80a6-6db9-51b5-8bc3-028069e48499
DOI: 10.1101/2020.09.25.313882

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