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Table 2 Performance of different models

From: PIKE-R2P: Protein–protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction

 

CBMC

PBMC

MSE

MSE SD

PCC

PCC SD

MSE

MSE SD

PCC

PCC SD

Random forest

0.6608

0.3844

0.5045

0.2675

1.1670

0.9187

0.7459

0.1391

cTP-net

3.1963

1.3963

0.4893

0.4675

3.5971

1.522

0.8294

0.1091

PIKE-R2P

0.2446

0.1703

0.8640

0.0636

0.4397

0.3360

0.8144

0.0999

  1. The bold numbers represent the best performance among the compared models