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In this paper, we present an approach for modeling computational genetic regulatory networks with multi-threshold protein concentration and combinatorial gene–protein interactions. We first present a gene automata model that describes the activities of a single gene, and discuss the construction of a network automaton model that describes the complete behavior of a gene network. To model the gene–protein...
This article proposes a computational framework for modelling the logical behavior of a class of gene networks. We characterize the basic behavior of genes in terms of a state-and-transition structure, and model the individual genes as language-generating automata. We consider positive and negative controls as the interaction mechanisms among the genes, and treat such controls as constraints (also...
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