Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics

Table 2 scRATE classification of genes in the heart data

Genes were classified as one of four count models (P, NB, ZIP, or ZINB) using four levels of stringency (0 SE, 1 SE, 2 SE, or 3 SE). Table shows the number of genes in each category using a GLM with only the offset term to account for cell sequencing depth (a), using a GLM that also includes cell type as an explanatory covariate (b), and using a GLM that includes offset as well as a randomly shuffled cell type as a covariate (c). See Additional file 1: Tables S3 and S4 for the results with the mouse kidney and the human PBMC datasets

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