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An empirical bayesian approach for testing gene expression fold change and its application in detecting global dosage effects.
Guo, Zhenxing; Cui, Ying; Shi, Xiaowen; Birchler, James A; Albizua, Igor; Sherman, Stephanie L; Qin, Zhaohui S; Ji, Tieming.
Afiliação
  • Guo Z; Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA.
  • Cui Y; Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA.
  • Shi X; Division of Biological Sciences, University of Missouri at Columbia, Columbia, MO 65211, USA.
  • Birchler JA; Division of Biological Sciences, University of Missouri at Columbia, Columbia, MO 65211, USA.
  • Albizua I; Department of Human Genetics, Emory University, Atlanta, GA 30322, USA.
  • Sherman SL; Department of Human Genetics, Emory University, Atlanta, GA 30322, USA.
  • Qin ZS; Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA.
  • Ji T; Department of Statistics, University of Missouri at Columbia, Columbia, MO 65211, USA.
NAR Genom Bioinform ; 2(3): lqaa072, 2020 Sep.
Article em En | MEDLINE | ID: mdl-33575620

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article