Reverse Engineering of Time-Delayed Gene Regulatory Network Using Restricted Gene Expression Programming

被引：3
|
作者：
Yang, Bin [1 ]
Zhang, Wei [1 ]
Yan, Xiaofei [1 ]
Liu, Caixia [1 ]
机构：
[1] Zaozhuang Univ, Sch Informat Sci & Engn, Zaozhuang 277160, Peoples R China
来源：
HYBRID INTELLIGENT SYSTEMS, HIS 2015 | 2016年 / 420卷
关键词：
DYNAMIC BAYESIAN NETWORK; MODEL;
D O I：
10.1007/978-3-319-27221-4_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Time delayed factor is one of the most important characteristics of gene regulatory network. Most research focused on reverse engineering of time-delayed gene regulatory network. In this paper, time-delayed S-system (TDSS) model is used to infer time-delayed regulatory network. An improved gene expression programming (GEP), named restricted GEP (RGEP) is proposed as a new representation of the TDSS model. A hybrid evolutionary method, based on structure-based evolutionary algorithm and new hybrid particle swarm optimization, is used to optimize the architecture and parameters of TDSS model. Experimental result reveals that our method could identify time-delayed gene regulatory network accurately.
引用
收藏
页码：155 / 165
页数：11
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