Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Coelho:2009:ICCI,
  author =       "Lucio Coelho and Ben Goertzel and Cassio Pennachin and 
                 Chris Heward",
  title =        "Classifier ensemble based analysis of a genome-wide
                 SNP dataset concerning Late-Onset Alzheimer Disease",
  booktitle =    "8th IEEE International Conference on Cognitive
                 Informatics, ICCI '09",
  year =         "2009",
  month =        jun,
  pages =        "469--475",
  keywords =     "genetic algorithms, genetic programming, OpenBiomind
                 toolkit, SLC6A15, brain genes, classifier ensemble
                 based analysis, genome-wide SNP dataset, important
                 features analysis, late-onset Alzheimer disease, local
                 search methods, single-nucleotide polymorphisms, brain,
                 diseases, genetic engineering, learning (artificial
                 intelligence), medical administrative data processing,
                 search problems",
  DOI =          "doi:10.1109/COGINF.2009.5250695",
  abstract =     "The OpenBiomind toolkit is used to apply GA, GP and
                 local search methods to analyze a large SNP dataset
                 concerning late-onset Alzheimer's disease (LOAD).
                 Classification models identifying LOAD with
                 statistically significant accuracy are identified, and
                 ensemble-based important features analysis is used to
                 identify brain genes related to LOAD, most notably the
                 solute carrier gene SLC6A15. Ensemble analysis is used
                 to identify potentially significant interactions
                 between genes in the context of LOAD.",
  notes =        "Also known as \cite{5250695}",
}

Genetic Programming entries for Lucio de Souza Coelho Ben Goertzel Cassio Pennachin Christopher B Heward

Citations