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Table 2 The output unit networks of BOLS with log(P(D|Hi))

From: Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks

Target

Regulators

log(P(D|Hi))

Cln3

Cln2 (X)

Clb2 (X)

Cln1 (X)

51.10881

Cdc20

Clb1 (_)

Cln1 (_)

 

39.92276

Swi5

Clb1 (_)

Clb6 (_)

 

38.47693

Clb1

Clb2 (X)

Swi6 (_)

 

38.11346

Clb2

Clb1 (X)

Clb6 (_)

 

37.67802

Cln2

Clb6 (X)

Sic1 (X)

Clb1 (_)

37.24355

Clb5

Clb6 (X)

Sic1 (X)

Clb2 (X)

34.73177

 

Cdc20 (X)

Swi4 (X)

Cln3 (X)

 
 

Hct1 (X)

Swi6 (X)

Cln2 (_)

 
 

Clb1 (_)

Mcm1 (_)

Mbp1 (_)

 
 

Swi5 (_)

Clb4 (_)

  

Cln1

Swi4 (X)

Sic1 (X)

 

34.6732

Cdc28

Hct1 (X)

Clb2 (X)

Sic1 (X)

34.09275

 

Swi5 (X)

Cln3 (X)

Swi6 (X)

 
 

Cln1 (X)

Cdc20 (X)

Clb1 (X)

 
 

Cln2 (X)

Clb4 (X)

Cdc53 (_)

 
 

Skp1 (_)

Mbp1 (_)

Cdc34 (_)

 
 

Clb6 (_)

Mcm1 (_)

  

Clb6

Cln3 (X)

Swi4 (_)

 

33.44521

Swi6

Cln3 (X)

Mbp1 (X)

Sic1 (X)

31.96447

 

Cln2 (X)

Swi4 (X)

Clb2 (X)

 
 

Clb5 (X)

Hct1 (_)

Mcm1 (_)

 
 

Cdc34 (_)

Clb4 (_)

Cdc20 (_)

 
 

Swi5 (_)

Skp1 (_)

  

Swi4

Cln3 (X)

Clb6 (_)

 

31.85847

Mcm1

Cdc28 (_)

Cln3 (_)

Skp1 (_)

27.06636

 

Swi6 (_)

Cdc53 (_)

Clb2 (_)

 
 

Cdc20 (_)

Mbp1 (_)

Clb1 (_)

 
 

Clb6 (_)

Clb5 (_)

Cln1 (_)

 
 

Cln2 (_)

Clb4 (_)

  

Sic1

Cdc20 (X)

Swi4 (_)

 

26.16702

Hct1

Swi4 (X)

Cln3 (_)

 

25.80372

Mbp1

Clb1 (_)

Mcm1 (_)

 

25.54062

Cdc53

Cln2 (X)

Sic1 (X)

 

24.09588

Skp1

Cdc53 (X)

Cdc34 (X)

Swi6 (_)

24.0043

 

Clb6 (_)

Sic1 (_)

Mbp1 (_)

 
 

Cln3 (_)

Swi5 (_)

Cdc28 (_)

 
 

Clb5 (_)

Clb4 (_)

Cln1 (_)

 
 

Cdc20 (_)

Clb1 (_)

Hct1 (_)

 
 

Mcm1 (_)

   

Clb4

Mbp1 (_)

Hct1 (_)

 

23.45985

Cdc34

Cln1 (X)

Sic1 (X)

 

23.20024

  1. (X)s indicate that the regulator gene is identified as having known interactions with its target gene from the BioGRID database, which is a freely accessible database of physical and genetic interactions available at [33].