Gene perturbation and intervention in context-sensitive stochastic Boolean networks

BMC Systems Biology

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]

	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
Average time (s)	10k	0.3172	0.3180	0.3863	0.3186
	100k	2.8781	2.8531	2.8467	2.9226

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.

ISSN: 1752-0509