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	Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures
	Ge, Tian; Feng, Jianfeng; Hibar, Derrek P.; Thompson, Paul M.; Nichols, Thomas E.
刊名	NEUROIMAGE
	2012
卷号	63期号:2
关键词	Imaging genetics Association study Random field theory Voxel-wise inference Cluster size inference Nonstationarity Least square kernel machines Permutation Pareto distribution Parametric tail approximation ADNI MRI Tensor-based morphometry Alzheimer's disease GRIN2B
ISSN号	1053-8119
URL标识	查看原文
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4914053
专题	复旦大学上海医学院
推荐引用方式 GB/T 7714	Ge, Tian,Feng, Jianfeng,Hibar, Derrek P.,et al. Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures[J]. NEUROIMAGE,2012,63(2).
APA	Ge, Tian,Feng, Jianfeng,Hibar, Derrek P.,Thompson, Paul M.,&Nichols, Thomas E..(2012).Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures.NEUROIMAGE,63(2).
MLA	Ge, Tian,et al."Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures".NEUROIMAGE 63.2(2012).

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