Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data

Background: Identification of cell type subpopulations from complex cell mixtures using single-cell RNA-sequencing (scRNA-seq) data includes automated steps from normalization to cell clustering. However, assigning cell type labels to cell clusters is often conducted manually, resulting in limited d...

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Detalles Bibliográficos
Autores principales: Diaz-Mejia, J. Javier, Meng, Elaine C., Pico, Alexander R., MacParland, Sonya A., Ketela, Troy, Pugh, Trevor J., Bader, Gary D., Morris, John H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720041/
https://www.ncbi.nlm.nih.gov/pubmed/31508207
http://dx.doi.org/10.12688/f1000research.18490.3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720041/
https://www.ncbi.nlm.nih.gov/pubmed/31508207
http://dx.doi.org/10.12688/f1000research.18490.3

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