Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures.
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%0 Journal Article
%1 journals/neuroimage/GeFHTN12
%A Ge, Tian
%A Feng, Jianfeng
%A Hibar, Derrek P.
%A Thompson, Paul M.
%A Nichols, Thomas E.
%D 2012
%J NeuroImage
%K
%N 2
%P 858-873
%T Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures.
%U http://dblp.uni-trier.de/db/journals/neuroimage/neuroimage63.html#GeFHTN12
%V 63
@article{journals/neuroimage/GeFHTN12,
added-at = {2023-12-14T16:55:06.000+0100},
author = {Ge, Tian and Feng, Jianfeng and Hibar, Derrek P. and Thompson, Paul M. and Nichols, Thomas E.},
biburl = {https://www.bibsonomy.org/bibtex/2d18d82bc2b74f4cd2f6c3b076bc9007d/admin},
ee = {https://www.wikidata.org/entity/Q36793304},
interhash = {ff00ae8b73ded0d6d96b44b964900d78},
intrahash = {d18d82bc2b74f4cd2f6c3b076bc9007d},
journal = {NeuroImage},
keywords = {},
number = 2,
pages = {858-873},
timestamp = {2023-12-14T16:55:06.000+0100},
title = {Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures.},
url = {http://dblp.uni-trier.de/db/journals/neuroimage/neuroimage63.html#GeFHTN12},
volume = 63,
year = 2012
}
