Bayesian inference on stochastic gene transcription from flow cytometry data

MOTIVATION: Transcription in single cells is an inherently stochastic process as mRNA levels vary greatly between cells, even for genetically identical cells under the same experimental and environmental conditions. We present a stochastic two-state switch model for the population of mRNA molecules...

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Detalles Bibliográficos
Autores principales: Tiberi, Simone, Walsh, Mark, Cavallaro, Massimo, Hebenstreit, Daniel, Finkenstädt, Bärbel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Eccb 2018: European Conference on Computational Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129284/
https://www.ncbi.nlm.nih.gov/pubmed/30423089
http://dx.doi.org/10.1093/bioinformatics/bty568

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129284/
https://www.ncbi.nlm.nih.gov/pubmed/30423089
http://dx.doi.org/10.1093/bioinformatics/bty568

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