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Table 3 Imputation performance in simulated data (6 groups)

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

 

MSE

MAE

PCC

CS

GNNImpute

25.7855

1.9330

0.9202

0.9295

DCA

21.5326

1.9313

0.9072

0.9113

MAGIC

45.0551

4.2573

0.8999

0.9050

scVI

147.4127

2.758

0.6272

0.6460

scImpute

99.4479

3.1622

0.7134

0.7085

SAVER

101.7722

3.3927

0.7951

0.8143

  1. The bold values indicate the best or better scores that can be obtained through different methods under different indicators