Table 2 Breast cancer genes in detected epigenetic subnetworks.

From: Inference of epigenetic subnetworks by Bayesian regression with the incorporation of prior information

Subnetwork

Breast cancer genes

Ratio

1

GRB7 SRC MED24 NCOA4 BCL2 PIK3CB

6/78

2

IDH1 ESR2 FOXO1 HSD17B12 PTPRJ CDKN2C SRC

7/79

3

CRK EDNRB

2/28

5

FOXM1 CLSPN MELK MMP14

4/41

6

NR3C1 PIK3CA FGF2

3/40

7

VIM ABCB1 GATA3 SFPQ ERBB4 SRC

6/69

8

CDK1 TOP2A

2/27

9

MAPK14 IKBKE SLC9A1 SRC MBIP KDM1A SERPINE1

7/94

10

FASN TWIST1 SRC

3/69

11

CSNK1A1 PTGES3 RUNX1 SRC MBIP KDM1A SERPINE1 AKT2 MAPK1 HMGB1

10/117

12

BMP6 TGM2 SRC

3/71

13

CHD4

1/51

14

CCNB1 RAD51 SRC

3/67

15

BAG3 EGFR SRC

3/70

16

CDK2 PRLR CDH1 ERBB3 TP53BP2 SRC MBIP KDM1A SERPINE1

9/92

17

CAV1

1/34

19

SOS1 PRKCZ SMYD3 ERBB2 SRC

5/68

20

SPTAN1 AHNAK ITGB1 NDRG1 ITSN1 EPAS1 MSN SRC

8/89

22

SMARCA4 MYH14 SRC

3/77

23

SMG1

1/34

24

IGF1R AKT2 PPARG SRC

4/66

25

DNMT3B ETS1

2/28

26

FN1 RBPJ FGFR1 KDM1A TGFBR2 VDR ITGB3

7/49

27

RNF41 SPARC

2/49

28

TFAP2A

1/37

29

FUBP1 IRS1 MAPK3 BTRC PIK3R1 ANK3

6/54

30

RHOA KDM5B MAP3K1 SRC MBIP KDM1A SERPINE1

7/112

31

PRKAR1A FUS MYH9 MKL1 HNRNPM SRC

6/84

32

CSK SMAD2 SOS2 TNPO1 SRC MBIP KDM1A SERPINE1

8/95

33

KDR FHL2 CD9 STAT5B PTN TP73 SRC

7/61

34

GAPDH APEX1 SRC

3/72

35

HDAC1 MUC1 HSPA5 PDIA6 RAB11FIP1 SRC MBIP KDM1A SERPINE1

9/104

36

PAK1 NOTCH1 GSN HSP90AA1 SRC MBIP KDM1A SERPINE1

8/104

38

CTNNB1 HSD17B4 ACO1 CD36 SRC

5/73

39

STUB1

1/29