Fuzzy Logical on Boolean Networks as Model of Gene Regulatory Networks

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 simultan...

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Bibliographic Details
Published in2009 International Joint Conference on Artificial Intelligence pp. 501 - 505
Main Authors Honglin Xu, Shitong Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
Subjects
Artificial intelligence
Bayesian methods
Biological system modeling
Boolean functions
Boolean network
Cancer
Computational biology
Differential equations
Fuzzy logic
Genetic expression
Neural networks
System Biology
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Summary: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.
ISBN:9780769536156
0769536158
DOI:10.1109/JCAI.2009.78