Optimal marker gene selection for cell type discrimination in single cell analyses

Single-cell technologies characterize complex cell populations across multiple data modalities at unprecedented scale and resolution. Multi-omic data for single cell gene expression, in situ hybridization, or single cell chromatin states are increasingly available across diverse tissue types. When i...

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Detalles Bibliográficos
Autores principales: Dumitrascu, Bianca, Villar, Soledad, Mixon, Dustin G., Engelhardt, Barbara E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895823/
https://www.ncbi.nlm.nih.gov/pubmed/33608535
http://dx.doi.org/10.1038/s41467-021-21453-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895823/
https://www.ncbi.nlm.nih.gov/pubmed/33608535
http://dx.doi.org/10.1038/s41467-021-21453-4

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