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Table 13 YEASTRACT Subnetworks

From: High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network

sn

n

n L

Hidden TF

Other TFs

sn1

4

5

MBP1

ASH1, HCM1, SWI4

sn2

5

11

GLN3

DAL80, GAT1, GCN4, UGA3

sn3

6

5

ADR1

IME1, MSN4, PIP2, STE12, USV1

sn4

6

5

ASH1

ACE2, MBP1, SWI5, TOS8, YHP1

sn5

6

6

YAP6

CBF1, CIN5, MOT3, PDR1, TUP1

sn6

6

10

MSN2

ADR1, FHL1, NRG1, SOK2, USV1

sn7

6

12

DAL80

GAT1, GLN3, STE12, SUM1, TEC1

sn8

7

6

ACE2

ASH1, FKH2, GAT1, HMS2, INO4, SFL1

sn9

7

7

MET4

ABF1, HAP4, MET28, MET32, SFP1, TYE7

sn10

7

7

MSN4

ADR1, HAL9, RAP1, ROX1, RPN4, SOK2

sn11

7

7

UME6

GAT1, GSM1, LEU3, MSN2, OAF1, SIP4

sn12

7

8

STE12

MIG2, MSN2, PDR1, PDR3, SOK2, YAP1

sn13

7

9

CIN5

FLO8, IXR1, NRG1, XBP1, YAP1, YAP6

sn14

7

11

MCM1

MET32, STE12, SWI4, SWI5, TYE7, YAP3

sn15

7

11

RAP1

FKH1, FKH2, MCM1, SFP1, STE12, SWI5

sn16

7

14

FLO8

CIN5, HCM1, HMS1, STE12, TEC1, TOS8

sn17

9

12

PDR1

HAP4, MET28, PDR3, RPN4, SFL1, SWI4, YAP5, YAP6

sn18

9

16

RPN4

HSF1, MSN2, MSN4, PDR1, PDR3, PUT3, REB1, YAP1

sn19

10

17

STE12

CBF1, HAP4, MET4, MSN2, PDR1, RAP1, ROX1, SOK2, YAP1

sn20

11

13

ABF1

DAL81, ECM22, HAP1, HMS2, MET4, MGA1, REB1, RTG3, STP1, SUM1

sn21

12

23

STE12

ASH1, FLO8, OAF1, RAP1, RFX1, SFP1, SKO1, SOK2, TEC1, TOS8, XBP1

sn22

13

38

ROX1

FHL1, HAP1, HAP4, HMS1, IXR1, MSN2, MSN4, SKN7, SKO1, STE12, XBP1, YAP1

  1. sn is the subnetwork. n is the number of TFs in the subnetwork, n L is the number of links in the subnetwork. The hidden TF is the one with expression hidden in incomplete setting of the experiments.