Applications of genetic programming in cancer research
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{Worzel2009405,
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author = "William P. Worzel and Jianjun Yu and
Arpit A. Almal and Arul M. Chinnaiyan",
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title = "Applications of genetic programming in cancer
research",
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journal = "The International Journal of Biochemistry \& Cell
Biology",
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volume = "41",
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number = "2",
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pages = "405--413",
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year = "2009",
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note = "Molecular and Cellular Evolution: A Celebration of the
200th Anniversary of the Birth of Charles Darwin",
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ISSN = "1357-2725",
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DOI = "DOI:10.1016/j.biocel.2008.09.025",
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URL = "http://www.sciencedirect.com/science/article/B6TCH-4TK92M3-5/2/0e86a90ead8ec06e801a65b7e26278ef",
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month = feb,
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keywords = "genetic algorithms, genetic programming, Evolutionary
algorithms, Cancer diagnosis, Cancer classification,
Cancer prognosis",
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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
Citations