Evolutionary modeling and inference of gene network
Information Sciences, 145 (3-4):
237--259 (September 2002)Abstract
we describe 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.
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