Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types

Mass cytometry allows high-resolution dissection of the cellular composition of the immune system. However, the high-dimensionality, large size, and non-linear structure of the data poses considerable challenges for the data analysis. In particular, dimensionality reduction-based techniques like t-S...

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Detalles Bibliográficos
Autores principales: van Unen, Vincent, Höllt, Thomas, Pezzotti, Nicola, Li, Na, Reinders, Marcel J. T., Eisemann, Elmar, Koning, Frits, Vilanova, Anna, Lelieveldt, Boudewijn P. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700955/
https://www.ncbi.nlm.nih.gov/pubmed/29170529
http://dx.doi.org/10.1038/s41467-017-01689-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700955/
https://www.ncbi.nlm.nih.gov/pubmed/29170529
http://dx.doi.org/10.1038/s41467-017-01689-9

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