Interpretable factor models of single-cell RNA-seq via variational autoencoders.,Bioinformatics

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Interpretable factor models of single-cell RNA-seq via variational autoencoders.
Bioinformatics ( IF 5.8 ) Pub Date : 2020-03-16 , DOI: 10.1093/bioinformatics/btaa169
Valentine Svensson ₁ , Adam Gayoso ₂ , Nir Yosef _{2,

3,

4} , Lior Pachter _{1,

5}

Affiliation

Single-cell RNA-seq makes possible the investigation of variability in gene expression among cells, and dependence of variation on cell type. Statistical inference methods for such analyses must be scalable, and ideally interpretable.

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