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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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Main Authors: | , , , , , , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
2012
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Assuntos: | |
Acesso em linha: | 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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