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

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@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