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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Exact solving and sensitivity analysis of stochastic continuous time Boolean models

Fig. 3

Attractors and their stationary probabilities for two models, calculation and visualization by ExaStoLog functions. Each row is an attractor state of the BN, with the columns corresponding to the BN’s nodes, listed at the bottom of the panels. The value to the left of each row is the stationary probability of the attractor state. In parenthesis is the index of the STG’s subgraph the state is located in (if there are disconnected subgraphs because of non-dynamic nodes). a Attractors of the mammalian cell cycle model from [38]. The two states at the top are separate stable states (fixed points) in subgraph 1. The lower 13 states are the >1% probability states of the cyclic attractor of 270 states. b Attractors of the EMT (epithelial-mesenchymal transition) model from [40]. All attractors are separate stable states

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