Overcoming confounding plate effects in differential expression analyses of single-cell RNA-seq data

An increasing number of studies are using single-cell RNA-sequencing (scRNA-seq) to characterize the gene expression profiles of individual cells. One common analysis applied to scRNA-seq data involves detecting differentially expressed (DE) genes between cells in different biological groups. Howeve...

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Detalles Bibliográficos
Autores principales: Lun, Aaron T. L., Marioni, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862359/
https://www.ncbi.nlm.nih.gov/pubmed/28334062
http://dx.doi.org/10.1093/biostatistics/kxw055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862359/
https://www.ncbi.nlm.nih.gov/pubmed/28334062
http://dx.doi.org/10.1093/biostatistics/kxw055

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