TWO-SIGMA-G: a new competitive gene set testing framework for scRNA-seq data accounting for inter-gene and cell-cell correlation.

Van Buren, Eric; Hu, Ming; Cheng, Liang; Wrobel, John; Wilhelmsen, Kirk; Su, Lishan; Li, Yun; Wu, Di

Van Buren, Eric; Hu, Ming; Cheng, Liang; Wrobel, John; Wilhelmsen, Kirk; Su, Lishan; Li, Yun; Wu, Di.

Afiliação

Van Buren E; Department of Biostatistics, Harvard T.H. Chan School of Public Health.
Hu M; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation.
Cheng L; Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill.
Wrobel J; Department of Microbiology and Immunology, The University of North Carolina at Chapel Hill.
Wilhelmsen K; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University.
Su L; Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill.
Li Y; Departments of Genetics and Neurology, Renaissance Computing Institute, University of North Carolina at Chapel Hill.
Wu D; Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill.

Brief Bioinform ; 23(3)2022 05 13.

Article em En | MEDLINE | ID: mdl-35325048

Assuntos

Testes Genéticos; Análise de Célula Única; Animais; Perfilação da Expressão Gênica/métodos; Humanos; Camundongos; Análise de Sequência de RNA/métodos; Análise de Célula Única/métodos; Sequenciamento do Exoma

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Testes Genéticos / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article

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