Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics

BACKGROUND: Single-cell RNA sequencing is a powerful tool for characterizing cellular heterogeneity in gene expression. However, high variability and a large number of zero counts present challenges for analysis and interpretation. There is substantial controversy over the origins and proper treatme...

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Detalles Bibliográficos
Autores principales: Choi, Kwangbom, Chen, Yang, Skelly, Daniel A., Churchill, Gary A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384222/
https://www.ncbi.nlm.nih.gov/pubmed/32718323
http://dx.doi.org/10.1186/s13059-020-02103-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384222/
https://www.ncbi.nlm.nih.gov/pubmed/32718323
http://dx.doi.org/10.1186/s13059-020-02103-2

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