Modeling Gene Regulatory Network Based on Genetic Programming
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- @InProceedings{Liu:2010:ICECE,
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author = "Jing Liu2 and Aiguo Wu",
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title = "Modeling Gene Regulatory Network Based on Genetic
Programming",
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booktitle = "2010 International Conference on Electrical and
Control Engineering (ICECE)",
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year = "2010",
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month = jun,
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pages = "5341--5344",
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abstract = "The purpose to establish the gene regulatory network
model is to study the interaction relationship between
genes on the system level, and thus to understand the
essentials of creatures activity. Currently, the
mainstream methods for modelling either prerequire the
regulatory relationship or are not able to demonstrate
the dynamics of the regulatory network. This paper
proposes a model based on differential equation, to
study gene regulatory network using Genetic
Programming. This method is able to adjust to
continuously external changes; search for the
regulatory models suitable for the experiment data
using genetic operators; and realise the prediction for
the random regulatory relationship between genes. Based
on the experiment, and compared with linear
differential equation model, the calculation result is
better suitable for the experiment data. This method is
sufficient for the gene regulatory network structure
reconstruction.",
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keywords = "genetic algorithms, genetic programming, gene
regulatory network modelling, gene regulatory network
structure reconstruction, linear differential equation
model, biology, linear differential equations",
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DOI = "doi:10.1109/iCECE.2010.1296",
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notes = "In chinese. Also known as \cite{5630756}",
- }
Genetic Programming entries for
Jing Liu2
Aiguo Wu
Citations