A statistical approach for identifying differential distributions in single-cell RNA-seq experiments

The ability to quantify cellular heterogeneity is a major advantage of single-cell technologies. However, statistical methods often treat cellular heterogeneity as a nuisance. We present a novel method to characterize differences in expression in the presence of distinct expression states within and...

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Detalles Bibliográficos
Autores principales: Korthauer, Keegan D., Chu, Li-Fang, Newton, Michael A., Li, Yuan, Thomson, James, Stewart, Ron, Kendziorski, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080738/
https://www.ncbi.nlm.nih.gov/pubmed/27782827
http://dx.doi.org/10.1186/s13059-016-1077-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080738/
https://www.ncbi.nlm.nih.gov/pubmed/27782827
http://dx.doi.org/10.1186/s13059-016-1077-y

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