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Random Boolean networks (RBNs) have been a popular model of genetic regulatory networks for more than four decades. However, most RBN studies have been made with random topologies, while real regulatory networks have been found to be modular. In this work, we extend classical RBNs to define modular RBNs. Statistical experiments and analytical results show that modularity has a strong effect on ...
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ژورنال
عنوان ژورنال: Artificial Life
سال: 2011
ISSN: 1064-5462,1530-9185
DOI: 10.1162/artl_a_00042