How to do differential expression with scRNAseq data? State of the art is "pseudo-bulk" analysis with RNA-seq methods like edgeR or DESeq2, where "cell type" is encoded as discrete categories. Biologically, discrete categories are not always the most appropriate concept.(1/3) doi.org/10.1038/s415...
Analysis of multi-condition single-cell data with latent embedding multivariate regression - Nature Genetics
Latent embedding multivariate regression models multi-condition single-cell RNA-seq using a continuous latent space, enabling data integration, per-cell gene expression prediction and clustering-free ...
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