Statistical method for modeling sequencing data from different technologies in longitudinal studies with application to Huntington disease.

Fuady, Angga M; van Roon-Mom, Willeke M C; Kielbasa, Szymon M; Uh, Hae-Won; Houwing-Duistermaat, Jeanine J

Fuady, Angga M; van Roon-Mom, Willeke M C; Kielbasa, Szymon M; Uh, Hae-Won; Houwing-Duistermaat, Jeanine J.

Afiliação

Fuady AM; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
van Roon-Mom WMC; Department of Biostatistics and Research Support, Div. Julius Centrum, University Medical Center Utrecht, Utrecht, the Netherlands.
Kielbasa SM; Department Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Uh HW; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Houwing-Duistermaat JJ; Department of Biostatistics and Research Support, Div. Julius Centrum, University Medical Center Utrecht, Utrecht, the Netherlands.

Biom J ; 63(4): 745-760, 2021 04.

Article em En | MEDLINE | ID: mdl-33350510

Assuntos

Doença de Huntington; Perfilação da Expressão Gênica; Humanos; Doença de Huntington/genética; Estudos Longitudinais; Tecnologia

Palavras-chave

DeepSAGE; RNA-Seq; linear mixed model; measurement error; quality control

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Huntington Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Biom J Ano de publicação: 2021 Tipo de documento: Article

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