A Kernel Machine Method for Detecting Effects of Interaction Between Multidimensional Variable Sets: An Imaging Genetics Application

Measurements derived from neuroimaging data can serve as markers of disease and/or healthy development, are largely heritable, and have been increasingly utilized as (intermediate) phenotypes in genetic association studies. To date, imaging genetic studies have mostly focused on discovering isolated...

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I publikationen:Neuroimage
Huvudupphovsmän: Ge, Tian, Nichols, Thomas E., Ghosh, Debashis, Mormino, Elizabeth C., Smoller, Jordan W., Sabuncu, Mert R.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2015
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4339421/
https://ncbi.nlm.nih.gov/pubmed/25600633
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2015.01.029
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