Reduction Mappings between Probabilistic Boolean Networks
EURASIP Journal on Advances in Signal Processing volume 2004, Article number: 314935 (2004)
Probabilistic Boolean networks (PBNs) comprise a model describing a directed graph with rule-based dependences between its nodes. The rules are selected, based on a given probability distribution which provides a flexibility when dealing with the uncertainty which is typical for genetic regulatory networks. Given the computational complexity of the model, the characterization of mappings reducing the size of a given PBN becomes a critical issue. Mappings between PBNs are important also from a theoretical point of view. They provide means for developing a better understanding about the dynamics of PBNs. This paper considers two kinds of mappings reduction and projection and their effect on the original probability structure of a given PBN.
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Ivanov, I., Dougherty, E.R. Reduction Mappings between Probabilistic Boolean Networks. EURASIP J. Adv. Signal Process. 2004, 314935 (2004). https://doi.org/10.1155/S1110865704309182