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Table 2 Imputation performance in simulated data (2 groups)

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

 

MSE

MAE

PCC

CS

GNNImpute

21.2961

1.8432

0.9259

0.9344

DCA

19.9282

1.8981

0.9092

0.9135

MAGIC

42.1510

4.1618

0.9022

0.9068

scVI

149.9295

2.7659

0.6282

0.6465

scImpute

99.0206

3.1611

0.7140

0.7088

SAVER

102.1126

3.3974

0.7962

0.8152

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