Inference of Gene Regulatory Networks using S-System: A Unified Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Wang:2007:CIBCB,
  author =       "Haixin Wang and Lijun Qian and Edward Dougherty",
  title =        "Inference of Gene Regulatory Networks using S-System:
                 A Unified Approach",
  booktitle =    "IEEE Symposium on Computational Intelligence and
                 Bioinformatics and Computational Biology, CIBCB '07",
  year =         "2007",
  editor =       "Gwenn Volkert",
  pages =        "82--89",
  address =      "Honolulu",
  month =        "1-5 " # apr,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-4244-0710-9",
  URL =          "http://old.pvamu.edu/edir/lijun/files/papers/CIBCB2007.pdf",
  size =         "8 pages",
  abstract =     "In this paper, a unified approach to infer gene
                 regulatory networks using the S-system model is
                 proposed. In order to discover the structure of
                 large-scale gene regulatory networks, a simplified
                 S-system model is proposed that enables fast parameter
                 estimation to determine the major gene interactions. If
                 a detailed S-system model is desirable for a subset of
                 genes, a two-step method is proposed where the range of
                 the parameters will be determined first using genetic
                 programming and recursive least square estimation. Then
                 the exact values of the parameters will be calculated
                 using a multi-dimensional optimisation algorithm. Both
                 downhill simplex algorithm and modified Powell
                 algorithm are tested for multi-dimensional
                 optimization. Simulation results using both synthetic
                 data and real microarray measurements demonstrate the
                 effectiveness of the proposed methods",
  notes =        "http://www.cs.kent.edu/~volkert/CIBCB07/sessions.html

                 2 and 5 genes, microarray, time series gene expression,
                 z-score fitness

                 INSPEC Accession Number: 9507409

                 ",
}

Genetic Programming entries for Haixin Wang Lijun Qian Edward R Dougherty

Citations