A comparison of automatic cell identification methods for single-cell RNA sequencing data

BACKGROUND: Single-cell transcriptomics is rapidly advancing our understanding of the cellular composition of complex tissues and organisms. A major limitation in most analysis pipelines is the reliance on manual annotations to determine cell identities, which are time-consuming and irreproducible....

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Detalles Bibliográficos
Autores principales: Abdelaal, Tamim, Michielsen, Lieke, Cats, Davy, Hoogduin, Dylan, Mei, Hailiang, Reinders, Marcel J. T., Mahfouz, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734286/
https://www.ncbi.nlm.nih.gov/pubmed/31500660
http://dx.doi.org/10.1186/s13059-019-1795-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734286/
https://www.ncbi.nlm.nih.gov/pubmed/31500660
http://dx.doi.org/10.1186/s13059-019-1795-z

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