Gene expression classification using binary rule majority voting genetic programming classifier

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@Article{journals/ijaip/GilliesPAW12,
  author =       "Christopher E. Gillies and Nilesh V. Patel and 
                 Jan Akervall and George D. Wilson",
  title =        "Gene expression classification using binary rule
                 majority voting genetic programming classifier",
  journal =      "International Journal of Advanced Intelligence
                 Paradigms",
  year =         "2012",
  volume =       "4",
  number =       "3/4",
  pages =        "241--255",
  publisher =    "Inderscience",
  bibdate =      "2013-04-23",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/ijaip/ijaip4.html#GilliesPAW12",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1755-0386",
  DOI =          "doi:10.1504/IJAIP.2012.052068",
  abstract =     "The results of a gene expression study are difficult
                 to interpret. To increase interpretability, researchers
                 have developed classification techniques that produce
                 rules to classify gene expression profiles. Genetic
                 programming is one method to produce classification
                 rules. These rules are difficult to interpret because
                 they are based on complicated functions of gene
                 expression values. We propose the binary rule majority
                 voting genetic programming classifier (BRMVGPC) that
                 classifies samples using binary rules based on the
                 detection calls for genes instead of the gene
                 expression values. BRMVGPC increases rule
                 interpretability. We evaluate BRMVGPC on two public
                 datasets, one brain and one prostate cancer, and
                 achieved 88.89percent and 86.39percent accuracy
                 respectively. These results are comparable to other
                 classifiers in the gene expression profile domain.
                 Specific contributions include a classification
                 technique BRMVGPC and an iterative k-nearest neighbour
                 technique for handling marginal detection call
                 values.",
}

Genetic Programming entries for Christopher E Gillies Nilesh V Patel Jan Akervall George D Wilson

Citations