EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

Droplet-based single-cell RNA sequencing protocols have dramatically increased the throughput of single-cell transcriptomics studies. A key computational challenge when processing these data is to distinguish libraries for real cells from empty droplets. Here, we describe a new statistical method fo...

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Detalles Bibliográficos
Autores principales: Lun, Aaron T. L., Riesenfeld, Samantha, Andrews, Tallulah, Dao, The Phuong, Gomes, Tomas, Marioni, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431044/
https://www.ncbi.nlm.nih.gov/pubmed/30902100
http://dx.doi.org/10.1186/s13059-019-1662-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431044/
https://www.ncbi.nlm.nih.gov/pubmed/30902100
http://dx.doi.org/10.1186/s13059-019-1662-y

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