BMC Systems Biology

Table 2 Conditional probabilities P(ϕ_j| Γ_i)

From: Evolvability of feed-forward loop architecture biases its abundance in transcription networks

	G ⁺	G ^-	P ⁺ T ⁺	P ⁺ T ^-	P ^- T ^-	P ^- T ⁺
C1	0.4862	0.2111	0.2018	0.03669	0.0642	0
C2	0.0931	0.5349	0.1861	0.09302	0.0931	0
C3	0.2336	0.5514	0.0748	0.09346	0.0374	0.0093
C4	0.5862	0.0689	0.1379	0.13793	0	0.0689
I1	0.3571	0.2143	0.2857	0	0.1429	0
I2	0.1111	0.4167	0.1111	0.2222	0.0648	0.0741
I3	0.2553	0.2766	0	0.2979	0	0.1702
I4	0.4019	0.1402	0.1869	0.1308	0.0748	0.0654

Table 2 shows the conditional probability for each motif Γ_i(rows) to implement the function ϕ_j(columns).These probability distributions are calculated from the association of a given motif, its possible BRs and the respective functions, as described in [26].

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ISSN: 1752-0509

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