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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
  1. 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].