Applications of genetic programming in cancer research

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@Article{Worzel2009405,

• author = "William P. Worzel and Jianjun Yu and Arpit A. Almal and Arul M. Chinnaiyan",
• title = "Applications of genetic programming in cancer research",
• journal = "The International Journal of Biochemistry \& Cell Biology",
• 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 = "http://www.sciencedirect.com/science/article/B6TCH-4TK92M3-5/2/0e86a90ead8ec06e801a65b7e26278ef",
• 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

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