{"title":"基于分类器集成的迟发性阿尔茨海默病全基因组SNP数据集分析","authors":"L. Coelho, B. Goertzel, C. Pennachin, C. Heward","doi":"10.4018/jssci.2010100105","DOIUrl":null,"url":null,"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.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease\",\"authors\":\"L. Coelho, B. Goertzel, C. Pennachin, C. Heward\",\"doi\":\"10.4018/jssci.2010100105\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":420853,\"journal\":{\"name\":\"2009 8th IEEE International Conference on Cognitive Informatics\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 8th IEEE International Conference on Cognitive Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/jssci.2010100105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 8th IEEE International Conference on Cognitive Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/jssci.2010100105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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 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.
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