Differential expression of single-cell RNA-seq data using Tweedie models.

Mallick, Himel; Chatterjee, Suvo; Chowdhury, Shrabanti; Chatterjee, Saptarshi; Rahnavard, Ali; Hicks, Stephanie C

Differential expression of single-cell RNA-seq data using Tweedie models.

Mallick, Himel; Chatterjee, Suvo; Chowdhury, Shrabanti; Chatterjee, Saptarshi; Rahnavard, Ali; Hicks, Stephanie C.

Afiliação

Mallick H; Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, Rahway, New Jersey, USA.
Chatterjee S; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Chowdhury S; Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Chatterjee S; Department of Statistics, Data and Analytics, Eli Lilly & Company, Indianapolis, Indianapolis, Indiana, USA.
Rahnavard A; Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Hicks SC; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Stat Med ; 41(18): 3492-3510, 2022 08 15.

Article em En | MEDLINE | ID: mdl-35656596

Assuntos

Perfilação da Expressão Gênica; Análise de Célula Única; Perfilação da Expressão Gênica/métodos; Humanos; RNA-Seq; Análise de Sequência de RNA; Software

Palavras-chave

Tweedie distribution; differential expression; exponential dispersion model; generalized linear model; single-cell RNA-sequencing; zero-inflation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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