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Fig. 5 | BMC Bioinformatics

Fig. 5

From: An efficient scRNA-seq dropout imputation method using graph attention network

Fig. 5

a 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 value

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