Simultaneous structure discovery and parameter estimation in gene networks using a multi-objective GP-PSO hybrid approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Cai:2009:IJBRA,

• title = "Simultaneous structure discovery and parameter estimation in gene networks using a multi-objective {GP}-{PSO} hybrid approach",
• author = "Xinye Cai and Praveen Koduru and Sanjoy Das and Stephen M. Welch",
• journal = "International Journal of Bioinformatics Research and Applications",
• year = "2009",
• month = "11 " # jun,
• volume = "5",
• number = "3",
• pages = "254--268",
• keywords = "genetic algorithms, genetic programming, gene regulatory networks, PSO, particle swarm optimisation, multi-objective optimisation, Bioinformatics, structure discovery, parameter estimation, gene networks, plant genes, plant flowering times, gene expressions",
• ISSN = "1744-5493",
• URL = "http://www.inderscience.com/link.php?id=26418",
• DOI = "doi:10.1504/IJBRA.2009.026418",
• publisher = "Inderscience Publishers",
• abstract = "This paper presents a hybrid algorithm based on Genetic Programming (GP) and Particle Swarm Optimisation (PSO) for the automated recovery of gene network structure. It uses gene expression time series data as well as phenotypic data pertaining to plant flowering time as its input data. The algorithm then attempts to discover simple structures to approximate the plant gene regulatory networks that produce model gene expressions and flowering times that closely resemble the input data. To show the efficacy of the proposed approach, simulation results applied to flowering time control in Arabidopsis thaliana are demonstrated and discussed.",

}

Genetic Programming entries for Xinye Cai Praveen Koduru Sanjoy Das Stephen M Welch

Citations