Skip to main content

Table 4 Inference results. Column "Biological Findings" lists a short description of the features of interest and references.

From: IRIS: a method for reverse engineering of regulatory relations in gene networks

Biological Findings

Observed Genes

Hidden Genes

Inference Results

Strong relationship between cyclins CLB5 and CLB6 [40] and between CLN1 and CLN2 [41]

CLB5

CLB6

P(CLB 6 = 0|CLB 5 = 0) = 0.9851

P(CLB 6 = 1|CLB 5 = 1) = 1.0000

 

CLB6

CLB5

P(CLB 5 = 0|CLB 6 = 0) = 1.0000

P(CLB 5 = 0|CLB 6 = 0) = 0.8079

 

CLN1

CLN2

P(CLN 2 = 0|CLN 1 = 0) = 0.95028

P(CLN 2 = 1|CLN 1 = 1) = 0.8449

 

CLN2

CLN1

P(CLN 1 = 0|CLN 2 = 0) = 0.6111

P(CLN 1 = 1|CLN 2 = 1) = 0.6111

Inhibitory activity of SIC1 on cyclins CLB5 and CLB6 [42]

SIC1

CLB5

P(CLB 5 = 0|SIC 1 = 1) = 0.7367

  

CLB6

P(CLB 6 = 0|SIC 1 = 1) = 0.7367

Inactivation of MBP1 and SWI6 causes CLB5 and CLB6 levels to fall [35]

MBP1

CLB5

P(CLB 5 = 0|MBP 1 = 0, SWI 6 = 0) = 0.7742

 

SWI6

CLB6

P(CLB 6 = 0|MBP 1 = 0, SWI 6 = 0) = 0.8483

While CLN1 and CLN2 are active, SIC1 is degraded [43]

CLN1

SIC1

P(SIC 1 = 0|CLN 1 = 1, CLN 2 = 1) = 0.6476

 

CLN2

  

Inactivation activity of MBP1 and SWI6 on CLN1 and CLN2 [44]

MBP1

SWI6

CLN1

P(CLN 1 = 0|MBP 1 = 1, SWI 6 = 1) = 0.6111

  

CLN2

P(CLN 2 = 0|MBP 2 = 1, SWI 6 = 1) = 0.6148

  1. To infer the conditional probability reported in the "Inference Results" column, the sum-product algorithm was used, and the state of the "Observed Genes" is fixed to derive the potential behaviour of "Hidden Genes".