Fig. 2

Accuracy comparison between DeepImpute and other competing methods. a Scatter plots of imputed vs. original data masked. The x-axis corresponds to the true values of the masked data points, and the y-axis represents the imputed values. Each row is a different dataset, and each column is a different imputation method. The mean squared error (MSE) and Pearson’s correlation coefficients (Pearson) are shown above each dataset and method. The rankings of these methods are shown below the figure in color coding. b Bar graphs of cell-cell and gene-gene level MSEs between the true (masked) and imputed values, based on those in a. Asterisk indicates statistically significant difference (P < 0.05) between DeepImpute and the imputation method of interest using the Wilcoxon rank-sum test. Color labels for all imputation methods are shown in the figure (c). Ranking of each method for all four datasets for both overall MSE and Pearson's correlation coefficient