Northstar enables automatic classification of known and novel cell types from tumor samples

Single cell transcriptomics is revolutionising our understanding of tissue and disease heterogeneity, yet cell type identification remains a partially manual task. Published algorithms for automatic cell annotation are limited to known cell types and fail to capture novel populations, especially can...

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Detalles Bibliográficos
Autores principales: Zanini, Fabio, Berghuis, Bojk A., Jones, Robert C., Nicolis di Robilant, Benedetta, Nong, Rachel Yuan, Norton, Jeffrey A., Clarke, Michael F., Quake, Stephen R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499423/
https://www.ncbi.nlm.nih.gov/pubmed/32943655
http://dx.doi.org/10.1038/s41598-020-71805-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499423/
https://www.ncbi.nlm.nih.gov/pubmed/32943655
http://dx.doi.org/10.1038/s41598-020-71805-1

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