Regularized Estimation in Sparse High-dimensional Multivariate Regression, with Application to a DNA Methylation Study

In this article, we consider variable selection for correlated high dimensional DNA methylation markers as multivariate outcomes. A novel weighted square-root LASSO procedure is proposed to estimate the regression coefficient matrix. A key feature of this method is tuning-insensitivity, which greatl...

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Publicado en:Stat Appl Genet Mol Biol
Autores principales: Zhang, Haixiang, Zheng, Yinan, Yoon, Grace, Zhang, Zhou, Gao, Tao, Joyce, Brian, Zhang, Wei, Schwartz, Joel, Vokonas, Pantel, Colicino, Elena, Baccarelli, Andrea, Hou, Lifang, Liu, Lei
Formato: Artigo
Lenguaje:Inglês
Publicado: 2017
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5812465/
https://ncbi.nlm.nih.gov/pubmed/28734115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1515/sagmb-2016-0073
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