Fig. 5From: An efficient scRNA-seq dropout imputation method using graph attention networka shows the MSE between the gene expression value after imputation and the real gene expression value. b shows the MAE between the gene expression value after imputation and the real gene expression value. c represents the PCC between the gene expression value after imputation and the real gene expression value. d represents the CS between the gene expression value after imputation and the real gene expression valueBack to article page