BISC: accurate inference of transcriptional bursting kinetics from single-cell transcriptomic data.

Luo, Xizhi; Qin, Fei; Xiao, Feifei; Cai, Guoshuai

Luo, Xizhi; Qin, Fei; Xiao, Feifei; Cai, Guoshuai.

Afiliación

Luo X; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Qin F; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Xiao F; Department of Biostatistics, University of Florida, Gainesville, FL 32603, USA.
Cai G; Department of Environmental Health Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.

Brief Bioinform ; 23(6)2022 11 19.

Article en En | MEDLINE | ID: mdl-36326081

Asunto(s)

Neoplasias; Transcriptoma; Animales; Humanos; Ratones; Hibridación Fluorescente in Situ; Reproducibilidad de los Resultados; Teorema de Bayes; Cinética; Transcripción Genética; Mamíferos/genética

Palabras clave

Bayesian statistics; Single cell RNA sequencing; Transcriptional bursting

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transcriptoma / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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