Skip to main content
Fig. 2 | BMC Bioinformatics

Fig. 2

From: Discrete distributional differential expression (D3E) - a tool for gene expression analysis of single-cell RNA-seq data

Fig. 2

DE analysis for synthetic data. a Sensitivity to changes in parameters of the Poisson-Beta distribution for the Cramér-von Mises, KS and likelihood ratio tests. A lighter color denotes a low sensitivity to changes of a particular parameter. b Average sensititivity scores for the panels in a as well as the run-times. c An example of a matrix which was used to assign the colors in a. Here, parameters α=.22 and β=.28, while γ is varied from 1 to 100 on a log-scale. Each element in the matrix reflects a p-value of a KS test between two Poisson-Beta distributions with the corresponding parameters. We expect to find high values along the diagonal, where the changes are smaller. d DE analysis for the scenario where the mean is fixed but the variance is changed. D3E is able to reliably identify differentially expressed genes based on the change in the shape of distribution alone. Here, the color represents the p-value for the Cramér-von Mises test with dark colors indicating a low value

Back to article page