Evolutionary modeling and inference of gene network
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- @Article{ando:emi,
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author = "Shin Ando and Erina Sakamoto and Hitoshi Iba",
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title = "Evolutionary modeling and inference of gene network",
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journal = "Information Sciences",
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volume = "145",
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number = "3-4",
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month = sep,
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year = "2002",
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pages = "237--259",
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keywords = "genetic algorithms, genetic programming, Gene network,
Evolutionary modeling, Time series prediction",
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URL = "http://www.sciencedirect.com/science/article/B6V0C-46WWB37-3/2/963172f8c0faa12d700376b07bfc96a5",
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ISSN = "0020-0255",
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DOI = "doi:10.1016/S0020-0255(02)00235-9",
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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.",
- }
Genetic Programming entries for
Shin Ando
Erina Sakamoto
Hitoshi Iba
Citations