Skip to main content

Advertisement

Fig. 1 | Genome Biology

Fig. 1

From: Splatter: simulation of single-cell RNA sequencing data

Fig. 1

The Splat simulation model. Input parameters are indicated with double borders and those that can be estimated from real data are shaded blue. Red shading indicates the final output. The simulation begins by generating means from a gamma distribution. Outlier expression genes are added by multiplying by a log-normal factor and the means are proportionally adjusted for each cell’s library size. Adjusting the means using a simulated Biological Coefficient of Variation (BCV) enforces a mean-variance trend. These final means are used to generate counts from a Poisson distribution. In the final step dropout is (optionally) simulated by randomly setting some counts to zero, based on each gene’s mean expression. DoF degrees of freedom

Back to article page