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Support Vector Machines with L-1 penalty for detecting gene-gene interactions
Shen, Yuanyuan2; Liu, Zhe3; Ott, Jurg1
2012
发表期刊INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
ISSN1748-5673
文章类型Article
卷号6期号:5页码:463-470
摘要Interactions among genetic variants are likely to affect risk for human complex diseases, and their identification should increase the power to detect disease-associated variants and elucidate biological pathways underlying diseases. We propose a two-stage approach:
关键词genome-wide association study human complex disease gene-gene interaction SVM support vector machine model selection L-1 penalty two-stage method data mining bioinformatics
收录类别SCI
语种英语
WOS记录号WOS:000309610700001
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/13423
专题中国科学院心理健康重点实验室
作者单位1.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China
2.Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
3.Univ Chicago, Dept Stat, Chicago, IL 60637 USA
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Shen, Yuanyuan,Liu, Zhe,Ott, Jurg. Support Vector Machines with L-1 penalty for detecting gene-gene interactions[J]. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2012,6(5):463-470.
APA Shen, Yuanyuan,Liu, Zhe,&Ott, Jurg.(2012).Support Vector Machines with L-1 penalty for detecting gene-gene interactions.INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,6(5),463-470.
MLA Shen, Yuanyuan,et al."Support Vector Machines with L-1 penalty for detecting gene-gene interactions".INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS 6.5(2012):463-470.
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