Figure 2.
Performance comparison between autoCell and other state-of-the-art methods under 10% synthetic dropout rate
(A) Density plots of imputed versus original data masked. The x axis corresponds to the imputed values, and the y axis represents the true values of the masked data points. Each row is a different dataset, and each column is a different imputation method. Pearson correlation coefficient (PPC; higher is better).
(B) Comparison of the cosine similarity (higher is better), median L1 distance (lower is better), and root-mean-square error (RMSE) scores (lower is better) between autoCell and the other six imputation tools.