Evolutionary modeling and inference of gene network

被引：57

作者：

Ando, S ^{[1
]}

Sakamoto, E

Iba, H

机构：

[1] Univ Tokyo, Grad Sch Engn, Dept Elect Engn, Tokyo, Japan

[2] Univ Tokyo, Grad Sch Engn, Dept Informat & Commun Engn, Tokyo, Japan

[3] Univ Tokyo, Grad Sch Engn, Dept Frontier Informat, Tokyo, Japan

来源：

INFORMATION SCIENCES | 2002年 / 145卷 / 3-4期

关键词：

gene network; evolutionary modeling; genetic programming; time series prediction;

D O I：

10.1016/S0020-0255(02)00235-9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes an Evolutionary Modeling (EM) approach to building causal model of differential equation system from time series data. The main target of the modeling is the gene regulatory network. A hybrid method of Genetic Programming (GP) and statistical analysis is featured in our work. GP and Least Mean Square method (LMS) were combined to identify a concise form of regulation between the variables from a given set of time series. Our approach was evaluated in several real-world problems. Further, Monte Carlo analysis is applied to indicate the robust and significant influence from the results for gene network analysis purpose. (C) 2002 Elsevier Science Inc. All rights reserved.

引用

页码：237 / 259

页数：23

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