Inference of gene regulatory networks using genetic programming and Kalman filter

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Wang:2006:GENSIPS,

• author = "Haixin Wang and Lijun Qian and Edward Dougherty",
• title = "Inference of gene regulatory networks using genetic programming and Kalman filter",
• booktitle = "IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS '06",
• year = "2006",
• pages = "27--28",
• address = "College Station, TX, USA",
• month = may,
• keywords = "genetic algorithms, genetic programming",
• ISBN = "1-4244-0385-5",
• URL = "http://old.pvamu.edu/edir/lijun/files/papers/Qian-Gensips2006.pdf",
• DOI = "doi:10.1109/GENSIPS.2006.353139",
• size = "2 pages",
• abstract = "In this paper, gene regulatory networks are inferred through evolutionary modelling and time-series microarray measurements. A nonlinear differential equation model is adopted and an iterative algorithm is proposed to identify the model, where genetic programming is applied to identify the structure of the model and Kalman filtering is employed to estimate the parameters in each iteration. Simulation results using synthetic data and microarray measurements show the effectiveness of the proposed scheme.",
• notes = "

  ",

}

Genetic Programming entries for Haixin Wang Lijun Qian Edward R Dougherty

Citations