Inference of gene regulatory networks using genetic programming and Kalman filter

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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