Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities
نویسندگان
چکیده
منابع مشابه
Steady-state probabilities for attractors in probabilistic Boolean networks
Boolean networks form a class of disordered dynamical systems that have been studied in physics owing to their relationships with disordered systems in statistical mechanics and in biology as models of genetic regulatory networks. Recently they have been generalized to probabilistic Boolean networks (PBNs) to facilitate the incorporation of uncertainty in the model and to represent cellular con...
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Computation of steady-state probabilities is an important aspect of analysing biological systems modelled as probabilistic Boolean networks (PBNs). For small PBNs, efficient numerical methods can be successfully applied to perform the computation with the use of Markov chain state transition matrix underlying the studied networks. However, for large PBNs, numerical methods suffer from the state...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks and Learning Systems
سال: 2017
ISSN: 2162-237X,2162-2388
DOI: 10.1109/tnnls.2016.2572063