PREDICTING TEMPORAL LOBE VOLUME ON MRI FROM GENOTYPES USING L(1)-L(2) REGULARIZED REGRESSION

Penalized or sparse regression methods are gaining increasing attention in imaging genomics, as they can select optimal regressors from a large set of predictors whose individual effects are small or mostly zero. We applied a multivariate approach, based on L(1)-L(2)-regularized regression (elastic...

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Hlavní autoři: Kohannim, Omid, Hibar, Derrek P., Jahanshad, Neda, Stein, Jason L., Hua, Xue, Toga, Arthur W., Jack, Clifford R., Weiner, Michael W., Thompson, Paul M.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2012
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3420969/
https://ncbi.nlm.nih.gov/pubmed/22903144
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2012.6235766
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