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Table 5 Number of selected genes and CARs result with different ARM rule pruning for BRCA dataset

From: Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification

ARM rule pruning

Number of selected CARs

Number of selected genes

T1

T2

T3

T4

T5

T1

T2

T3

T4

T5

CBA

28

20

18

18

21

56

66

56

45

65

DNN

100

2000

10

1500

100

144

533

73

497

154

Top1000

1000

1000

1000

1000

1000

437

448

402

446

379

  1. 5 experiments were carried out with random data splitting, denoted as T1,T2,T3,T4 and T5