Fig. 5

Comparison on effect of imputation on downstream function analysis of simulated data using Splatter. This simulation dataset is composed of 4000 genes and 2000 cells, split into 5 cell types (proportions: 5%/5%/10%/20%/20%/40%). a UMAP plots of DeepImpute, MAGIC, SAVER, scImpute, DrImpute, and raw data. Each color represents one of the 5 cell types. b Accuracy measurements of clustering using the same metrics as in Fig. 4b. Bar colors represent different methods as shown in the figure. c Accuracy measurements of differentially expressed genes by different imputation methods. The top 500 differentially expressed genes in each cell type are used to compare with the true differentially expressed genes in the simulated data, over a range of adjusted p values for each method. Colors represent different methods as shown in the figure