Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare c...
Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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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-SNE offer single-cell resolution but are limited in...
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Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types
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TN_cdi_doaj_primary_oai_doaj_org_article_e50b0012ac854b22b12f11d3326c67c4
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e50b0012ac854b22b12f11d3326c67c4
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-017-01689-9
