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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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| Publicado no: | Genome Biol |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6431044/ https://ncbi.nlm.nih.gov/pubmed/30902100 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1662-y |
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