Figure 3
From: Recent development and biomedical applications of probabilistic Boolean networks
Relationships between the frameworks of Boolean and probabilistic Boolean networks. A Boolean network (BN) can be converted to a Boolean network with perturbations (BNp) by introducing a probability parameter p, 0 < p < 1, and a perturbation vector (γ). A probabilistic Boolean network (PBN) is built upon a number of constituent BNs and a probability distribution governing the choice of the Boolean network in accordance with which the next transition is made. Analogically, a PBN can be converted to a probabilistic Boolean network with perturbations (PBNp) by introducing a probability parameter p, 0 < p < 1, and a perturbation vector (γ). A probabilistic Boolean network (PBN) is built upon a number of constituent BNps and a probability distribution governing the choice of the BNp in accordance with which the next transition is made.