DocumentCode :
3253451
Title :
Inferring a system of differential equations for a gene regulatory network by using genetic programming
Author :
Sakamoto, Erina ; Iba, Hitoshi
Author_Institution :
Dept. of Inf. Commun. Eng., Tokyo Univ., Japan
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
720
Abstract :
Describes an evolutionary method for identifying a gene regulatory network from the observed time series data of the gene´s expression. We use a system of ordinary differential equations as a model of the network and infer their right-hand sides by using genetic programming (GP). To explore the search space more effectively in the course of evolution, the least mean squares (LMS) method is used along with ordinary GP. We apply our method to three target networks and empirically show how successfully GP infers the systems of differential equations
Keywords :
biocontrol; biology computing; differential equations; genetic algorithms; genetics; least mean squares methods; mathematics computing; time series; equation right-hand sides; evolutionary method; gene expression; gene regulatory network identification; genetic programming; inference; least mean squares method; ordinary differential equation system; search space exploration; time series data; Bioinformatics; DNA; Differential equations; Genetic engineering; Genetic expression; Genetic programming; Least squares approximation; Power system modeling; Space exploration; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
Type :
conf
DOI :
10.1109/CEC.2001.934462
Filename :
934462
Link To Document :
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