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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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