RCRdiff: A fully integrated Bayesian method for differential expression analysis using raw NanoString nCounter data.

Xu, Can; Wang, Xinlei; Lim, Johan; Xiao, Guanghua; Xie, Yang

Xu, Can; Wang, Xinlei; Lim, Johan; Xiao, Guanghua; Xie, Yang.

Afiliación

Xu C; Department of Statistical Science, Southern Methodist University, Dallas, Texas, USA.
Wang X; Department of Statistical Science, Southern Methodist University, Dallas, Texas, USA.
Lim J; Department of Statistics, Seoul National University, Seoul, Korea.
Xiao G; Department of Population & Data Sciences and Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Xie Y; Department of Population & Data Sciences and Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Stat Med ; 41(4): 665-680, 2022 02 20.

Article en En | MEDLINE | ID: mdl-34773277

Asunto(s)

Perfilación de la Expresión Génica; Teorema de Bayes; Perfilación de la Expresión Génica/métodos; Humanos; Reproducibilidad de los Resultados

Palabras clave

Bayesian LASSO; FFPE; gene expression; gene selection; normalization; random-coefficient regression

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Stat Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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