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A novel gene regulatory network model via the fuzzy logic is proposed. Fuzzy logic can effectively model gene regulation and interaction to accurately reflect the underlying biology. By judging genes expression level on the fuzzy rule, Fuzzy Boolean network (FBN) makes it possible to handle simultaneously the randomness and fuzziness of biological phenomena.
In this study, a novel method of structure analysis of probabilistic Boolean network (PBN) is represented. According to the influence matrix of PBN, essential genes can be found the rules given. Setting these genes as source nodes, by using shortest path search and maximum information passing, PBN can be decomposed into several sub-networks. This algorithm is illustrated using an artificial influenced-based...
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