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- W2045491952 abstract "A reverse-problem in modern systems biology focuses on modeling and simulation of gene regulatory networks, metabolic networks from time-course data. With the depth of research, not only the network structures but also its dynamics are paid more attention. We proposed a method to model the gene regulatory networks in Escherichia coli by using Immune Memory Particle Swarm Optimization(IM-PSO) and Ordinary differential equations (ODEs). This method successfully inferred the dynamics of a small regulation networks for 7 genes using only 4 time-course data of gene expression." @default.
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- W2045491952 date "2010-10-01" @default.
- W2045491952 modified "2023-10-15" @default.
- W2045491952 title "Modeling of genetic regulation networks based on Immune Memory Particle Swarm Optimization" @default.
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- W2045491952 doi "https://doi.org/10.1109/icosp.2010.5656370" @default.
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