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IEEEICCI
2009
IEEE

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

12 years 4 months ago
Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease
The OpenBiomind toolkit is used to apply GA, GP and local search methods to analyze a large SNP dataset concerning late-onset Alzheimers 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.
Lúcio de Souza Coelho, Ben Goertzel, Cassio
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where IEEEICCI
Authors Lúcio de Souza Coelho, Ben Goertzel, Cassio Pennachin, Chris Heward
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