Reverse engineering of gene regulatory network using restricted gene expression programming

2016 ◽  
Vol 14 (05) ◽  
pp. 1650021 ◽  
Author(s):  
Bin Yang ◽  
Sanrong Liu ◽  
Wei Zhang
Keyword(s):  
Gene Expression ◽  
Evolutionary Algorithm ◽  
Gene Regulatory Network ◽  
Regulatory Network ◽  
Regulatory Networks ◽  
Gene Expression Programming ◽  
Cuckoo Search ◽  
Area Of Interest ◽  
Benchmark Datasets ◽  
Gene Regulatory

Inference of gene regulatory networks has been becoming a major area of interest in the field of systems biology over the past decade. In this paper, we present a novel representation of S-system model, named restricted gene expression programming (RGEP), to infer gene regulatory network. A new hybrid evolutionary algorithm based on structure-based evolutionary algorithm and cuckoo search (CS) is proposed to optimize the architecture and corresponding parameters of model, respectively. Two synthetic benchmark datasets and one real biological dataset from SOS DNA repair network in E. coli are used to test the validity of our method. Experimental results demonstrate that our proposed method performs better than previously proposed popular methods.

Gene Expression Programming Evolution Difficulty Prediction Based on Posture Model

2011 ◽  
Vol 22 (5) ◽  
pp. 899-913 ◽  
Author(s):  
Jiao-Ling ZHENG ◽  
Chang-Jie TANG ◽  
Kai-Kuo XU ◽  
Ning YANG ◽  
Lei DUAN ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Programming

Gene expression programming algorithm based on multi-threading evaluator

2013 ◽  
Vol 32 (4) ◽  
pp. 986-989
Author(s):  
Sheng-qiao NI ◽  
Chang-jie TANG ◽  
Ning YANG ◽  
Jie ZUO
Keyword(s):  
Gene Expression ◽  
Gene Expression Programming ◽  
Programming Algorithm
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