Applications of genetic programming in cancer research

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "William P. Worzel and Jianjun Yu and 
                 Arpit A. Almal and Arul M. Chinnaiyan",
  title =        "Applications of genetic programming in cancer
  journal =      "The International Journal of Biochemistry \& Cell
  volume =       "41",
  number =       "2",
  pages =        "405--413",
  year =         "2009",
  note =         "Molecular and Cellular Evolution: A Celebration of the
                 200th Anniversary of the Birth of Charles Darwin",
  ISSN =         "1357-2725",
  DOI =          "DOI:10.1016/j.biocel.2008.09.025",
  URL =          "",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 algorithms, Cancer diagnosis, Cancer classification,
                 Cancer prognosis",
  abstract =     "The theory of Darwinian evolution is the fundamental
                 keystones of modern biology. Late in the last century,
                 computer scientists began adapting its principles, in
                 particular natural selection, to complex computational
                 challenges, leading to the emergence of evolutionary
                 algorithms. The conceptual model of selective pressure
                 and recombination in evolutionary algorithms allow
                 scientists to efficiently search high dimensional space
                 for solutions to complex problems. In the last decade,
                 genetic programming has been developed and extensively
                 applied for analysis of molecular data to classify
                 cancer subtypes and characterize the mechanisms of
                 cancer pathogenesis and development. This article
                 reviews current successes using genetic programming and
                 discusses its potential impact in cancer research and
                 treatment in the near future.",

Genetic Programming entries for William P Worzel Jianjun Yu Arpit A Almal Arul M Chinnaiyan