Fuzzy Logical on Boolean Networks as Model of Gene Regulatory Networks

被引：1
|
作者：
Xu, Honglin [1 ]
Wang, Shitong [1 ]
机构：
[1] Jiangnan Univ, Sch Informat, Wuxi, Peoples R China
来源：
FIRST IITA INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年
关键词：
D O I：
10.1109/JCAI.2009.78
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：501 / 505
页数：5
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