Title :
Fuzzy Logical on Boolean Networks as Model of Gene Regulatory Networks
Author :
Xu, Honglin ; Wang, Shitong
Author_Institution :
Sch. of Inf., Jiangnan Univ., Wuxi, China
Abstract :
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.
Keywords :
Boolean algebra; biology computing; fuzzy logic; fuzzy set theory; biological phenomena; fuzzy Boolean network; fuzzy logic; fuzzy rule; gene regulatory network; Artificial intelligence; Bayesian methods; Biological system modeling; Boolean functions; Cancer; Computational biology; Differential equations; Fuzzy logic; Genetic expression; Neural networks; Boolean network; Fuzzy Logic; System Biology;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.78
