Modeling genetic network by hybrid GP

Shin Ando, Erina Sakamoto, Hitoshi Iba

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

We present an evolutionary modeling method for modeling genetic regulatory networks. The method features a hybrid algorithm of genetic programming with statistical analysis to derive systems of differential equations. Genetic programming and the least mean squares method were combined to identify a concise form of regulation between the variables from a given set of time series. Results of multiple runs were statistically analyzed to indicate the term with robust and significant influence. Our approach was evaluated in artificial data and real world data.

Original languageEnglish
Pages291-296
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2002
Event2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States
Duration: 12 May 200217 May 2002

Conference

Conference2002 Congress on Evolutionary Computation, CEC 2002
CountryUnited States
CityHonolulu, HI
Period12/05/0217/05/02

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Ando, S., Sakamoto, E., & Iba, H. (2002). Modeling genetic network by hybrid GP. 291-296. Paper presented at 2002 Congress on Evolutionary Computation, CEC 2002, Honolulu, HI, United States. https://doi.org/10.1109/CEC.2002.1006249