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Table 2 Classification of network nodes and their functional importance in generalized Boolean network models

From: Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on Boolean network modeling

Boolean networks with |V| = 14 and |A| = 19 (initial state mutation)

 

No feedback loop

Feedback loop

Total

 

U

E(L)

U

E(L)

U

E(L)

Low connectivity

4281

0.0263 (0.00183)

9592

0.2317 (0.00615)

13873

0.1683 (0.00457)

High connectivity

1246

0.0426 (0.00492)

12881

0.2806 (0.00564)

14127

0.2596 (0.00528)

Total

5527

0.0300 (0.00181)

22473

0.2597 (0.00418)

28000

0.2144 (0.00354)

Boolean networks with |V| = 14 and |A| = 19 (update rule mutation)

 

No feedback loop

Feedback loop

Total

 

U

E(L)

U

E(L)

U

E(L)

Low connectivity

4379

0.1858 (0.00779)

9465

0.2459 (0.00579)

13844

0.2268 (0.00468)

High connectivity

1269

0.2196 (0.01539)

12887

0.2800 (0.00515)

14156

0.2745 (0.00490)

Total

5648

0.1934 (0.00697)

22352

0.2655 (0.00386)

28000

0.2510 (0.00340)

  1. U : The number of proteins belonging to the corresponding class.
  2. E : The average value of the functional importance with respect to either initial update mutations or rule update mutations.
  3. L : The confidence interval for 95% confidence level.