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Understanding microarray data through applying competent program evolution

Published:07 July 2007Publication 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.Google ScholarGoogle ScholarCross RefCross Ref
  2. M. Looks. Competent Program Evolution. PhD thesis, Washington University in St. Louis, 2006.Google ScholarGoogle Scholar
  3. T. Lu et al. Gene regulation and DNA damage in the aging human brain. Nature, 2004.Google ScholarGoogle Scholar
  4. M. A. Shipp et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nature Medicine, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  5. A. Statnikov et al. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Understanding microarray data through applying competent program evolution

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      • Published in

        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

        Copyright © 2007 author

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 July 2007

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        GECCO '07 Paper Acceptance Rate266of577submissions,46%Overall Acceptance Rate1,669of4,410submissions,38%

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