Evolutionary modeling and inference of gene network

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@Article{ando:emi,

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