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Understanding microarray data through applying competent program evolution

Published: 07 July 2007 Publication History

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References

[1]
B. Goertzel et al. Learning comprehensible classification rules from gene expression data using genetic programming and biological ontologies. In CIBB, 2006.
[2]
M. Looks. Competent Program Evolution. PhD thesis, Washington University in St. Louis, 2006.
[3]
T. Lu et al. Gene regulation and DNA damage in the aging human brain. Nature, 2004.
[4]
M. A. Shipp et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nature Medicine, 2002.
[5]
A. Statnikov et al. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics, 2004.

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cover image ACM Conferences
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
July 2007
2313 pages
ISBN:9781595936974
DOI:10.1145/1276958

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2007

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Author Tags

  1. empirical study
  2. heuristics
  3. optimization
  4. representations

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GECCO07
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GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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