Support Vector Machines with L-1 penalty for detecting gene-gene interactions

	Support Vector Machines with L-1 penalty for detecting gene-gene interactions
	Shen, Yuanyuan 2; Liu, Zhe 3; Ott, Jurg 1
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
	2012
语种	英语
发表期刊	INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
ISSN	1748-5673
卷号	6 期号:5 页码:463-470
期刊论文类型	Article
收录类别	SCI
WOS记录号	WOS:000309610700001
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
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
推荐引用方式 GB/T 7714	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.