| 唐迅,李娜,陈大方,胡永华.多因子降维法分析基因-基因交互作用的应用进展[J].Chinese journal of Epidemiology,2007,28(9):918-921 |
| 多因子降维法分析基因-基因交互作用的应用进展 |
| Recent advances in applications of multifactor dimensionality reduction for detecting gene-gene interactions |
| Received:December 21, 2006 Revised:September 10, 2007 |
| DOI： |
| KeyWord: 多因子降维法 病例对照研究 基因-基因交互作用 |
| English Key Word: Multifactor dimensionality reduction Casecontrol study Gene-gene interactions |
| FundProject:国家自然科学基金(30671807);高等学校博士学科点专项科研基金(20060001111) |
| Author Name | Affiliation | E-mail | | TANG Xun | Key Laboratory of Epidemiology, Ministry of Education,Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100083, China | | | LI Na | Key Laboratory of Epidemiology, Ministry of Education,Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100083, China | | | CHEN Da-fang | Key Laboratory of Epidemiology, Ministry of Education,Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100083, China | | | HU Yong-hua | Key Laboratory of Epidemiology, Ministry of Education,Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100083, China | yhhu@bjmu.edu.cn |
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| Abstract: |
| 正多因子降维法(multifactor dimensionality reduction,MDR)是近年来发展的一种分析交互作用的新方法,"因子"即交互作用研究中的变量(如基因型或环境因素),"维"是指研究的多因子组合中的因子数(如基因型数目);该方法以疾病易感性分类(高危、低危)的方式建模,将研究中的多个因子看作一个多因子组合(基因型组合),这样就把高维的结构降低到单维两水平(即高危或低危),即为"降维",最后, |
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