Supervised structural learning of semiparametric regression on high-dimensional correlated covariates with applications to eQTL studies.

Liu, Wei; Lin, Huazhen; Liu, Li; Ma, Yanyuan; Wei, Ying; Li, Yi

Liu, Wei; Lin, Huazhen; Liu, Li; Ma, Yanyuan; Wei, Ying; Li, Yi.

Afiliação

Liu W; Center of Statistical Research and School of Statistics, Southwestern University of Finance and Economics, Chengdu, China.
Lin H; Center of Statistical Research and School of Statistics, Southwestern University of Finance and Economics, Chengdu, China.
Liu L; New Cornerstone Science Laboratory, Shenzhen, China.
Ma Y; School of Mathematics and Statistics, Wuhan University, Wuhan, China.
Wei Y; Department of Statistics, Penn State University, University Park, State College, Pennsylvania.
Li Y; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA.

Stat Med ; 42(18): 3145-3163, 2023 08 15.

Article em En | MEDLINE | ID: mdl-37458069

Assuntos

Polimorfismo de Nucleotídeo Único; Locos de Características Quantitativas; Humanos; Locos de Características Quantitativas/genética; Funções Verossimilhança; Estudo de Associação Genômica Ampla/métodos

Palavras-chave

GTEx; SNP and gene expression; bias and efficiency; joint models; latent variables

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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