TooManyCells identifies and visualizes relationships of single-cell clades

Identifying and visualizing transcriptionally similar cells is instrumental for accurate exploration of cellular diversity revealed by single-cell transcriptomics. However, widely used clustering and visualization algorithms produce a fixed number of cell clusters. A fixed clustering “resolution” ha...

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Detalles Bibliográficos
Autores principales: Schwartz, Gregory W., Zhou, Yeqiao, Petrovic, Jelena, Fasolino, Maria, Xu, Lanwei, Shaffer, Sydney M., Pear, Warren S., Vahedi, Golnaz, Faryabi, Robert B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439807/
https://www.ncbi.nlm.nih.gov/pubmed/32123397
http://dx.doi.org/10.1038/s41592-020-0748-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439807/
https://www.ncbi.nlm.nih.gov/pubmed/32123397
http://dx.doi.org/10.1038/s41592-020-0748-5

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