Genomic computing: explanatory modelling for functional genomics

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Richard J. Gilbert and Jem J. Rowland and 
                 Douglas B. Kell",
  title =        "Genomic computing: explanatory modelling for
                 functional genomics",
  pages =        "551--557",
  year =         "2000",
  publisher =    "Morgan Kaufmann",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference (GECCO-2000)",
  editor =       "Darrell Whitley and David Goldberg and 
                 Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
  address =      "Las Vegas, Nevada, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "10-12 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-708-0",
  URL =          "",
  abstract =     "Many newly discovered genes are of unknown function.
                 DNA microarrays are a method for determining the
                 expression levels of all genes in an organism for which
                 a complete genome sequence is available. By comparing
                 the expression changes under different conditions it
                 should be possible to assign functions to these genes.
                 However, many hundreds of thousands of data points may
                 be produced over a series of experiments. Genetic
                 programming provided simple explanatory rules for gene
                 function from such datasets, where previous approaches
                 had not succeeded.",
  notes =        "A joint meeting of the ninth International Conference
                 on Genetic Algorithms (ICGA-2000) and the fifth Annual
                 Genetic Programming Conference (GP-2000) Part of

                 DNA chip, microarray mRNA, baker's yeast saccharomyces

                 Protected divide by zero =10**15, range protection

                 6 way classification via 6 classifiers in one
                 individual. Linear GP Five demes (7500 each). 5%

                 p554 2000 generations. Single point crossover.
                 Conditional branches, loops. Infinite loops

                 {"}new insights into biological systems at the genomic
                 level{"}. {"}not been previously reported{"}. Sec

                 p553 2467 genes x 79??? These missing (data) points
                 were assigned the mean values for the column. log
                 expression. bloat fitness penalty.",

Genetic Programming entries for Richard J Gilbert Jem J Rowland Douglas B Kell