Table 2

The AUC of different methods on four data sets

DatasetMPCLCDARNMFLPDMCCDAMLCDAAE-RFGMNN2CD
CircR2Disease0.98770.95120.96150.86190.95140.9531
Circ2Disease0.97990.88520.97000.82040.94970.9343
circRNADisease0.97430.93290.98780.80530.96550.9735
circAtlas0.95870.80120.82670.80060.84890.9532
DatasetMPCLCDARNMFLPDMCCDAMLCDAAE-RFGMNN2CD
CircR2Disease0.98770.95120.96150.86190.95140.9531
Circ2Disease0.97990.88520.97000.82040.94970.9343
circRNADisease0.97430.93290.98780.80530.96550.9735
circAtlas0.95870.80120.82670.80060.84890.9532

Note: The highest value for each metric is shown in bold.

Table 2

The AUC of different methods on four data sets

DatasetMPCLCDARNMFLPDMCCDAMLCDAAE-RFGMNN2CD
CircR2Disease0.98770.95120.96150.86190.95140.9531
Circ2Disease0.97990.88520.97000.82040.94970.9343
circRNADisease0.97430.93290.98780.80530.96550.9735
circAtlas0.95870.80120.82670.80060.84890.9532
DatasetMPCLCDARNMFLPDMCCDAMLCDAAE-RFGMNN2CD
CircR2Disease0.98770.95120.96150.86190.95140.9531
Circ2Disease0.97990.88520.97000.82040.94970.9343
circRNADisease0.97430.93290.98780.80530.96550.9735
circAtlas0.95870.80120.82670.80060.84890.9532

Note: The highest value for each metric is shown in bold.

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