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Table 4 Differences in the state transition matrices (STMs) obtained using the context-sensitive stochastic Boolean network (CSSBN) with perturbation, compared to the results by using the analytical context-sensitive probabilistic Boolean network (CSPBN) approach in[23]

From: Gene perturbation and intervention in context-sensitive stochastic Boolean networks

  L(bits) q = 1p = 0 q = 0.99p = 0 q = 0.5p = 0 q = 0.8p = 0.01
||Δ A||1 1k 0.1820 0.2067 0.2320 0.3469
10k 0.0754 0.0754 0.0605 0.0890
100k 0.0291 0.0239 0.0306 0.0210
||Δ A||2 1k 0.0642 0.0754 0.0706 0.1012
10k 0.0258 0.0259 0.0207 0.0297
100k 0.0101 0.0091 0.0097 0.0080
||Δ A|| 1k 0.0382 0.0413 0.0530 0.0888
10k 0.0144 0.0145 0.0164 0.0249
100k 0.0050 0.0055 0.0064 0.0074
Average time (s) 1k 0.0601 0.0547 0.0534 0.0623
10k 0.3172 0.3180 0.3863 0.3186
  100k 2.8781 2.8531 2.8467 2.9226
  1. The average run time of 20 simulations using the CSSBN is also shown for different perturbation rates, p, and context switching probabilities, q. L: sequence length.