Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data.

Dadaneh, Siamak Zamani; de Figueiredo, Paul; Sze, Sing-Hoi; Zhou, Mingyuan; Qian, Xiaoning

Dadaneh, Siamak Zamani; de Figueiredo, Paul; Sze, Sing-Hoi; Zhou, Mingyuan; Qian, Xiaoning.

Afiliación

Dadaneh SZ; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, USA.
de Figueiredo P; Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, Texas, USA.
Sze SH; Department of Veterinary Pathobiology, Texas A&M University, College Station, Texas, USA.
Zhou M; Norman Borlaug Center, Texas A&M University, College Station, Texas, USA.
Qian X; Department of Computer Science and Engineering, Texas A&M University, College Station, Texas, USA.

BMC Genomics ; 21(Suppl 9): 585, 2020 Sep 09.

Article en En | MEDLINE | ID: mdl-32900358

Asunto(s)

ARN; Análisis de la Célula Individual; Teorema de Bayes; Perfilación de la Expresión Génica; Análisis de Secuencia de ARN

Palabras clave

Bayesian; Hierarchical modeling; Single-cell RNA sequencing

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: ARN / Análisis de la Célula Individual Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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