Background fluorescence and spreading error are major contributors of variability in high‐dimensional flow cytometry data visualization by t‐distributed stochastic neighboring embedding

Multidimensional single‐cell analysis requires approaches to visualize complex data in intuitive 2D graphs. In this regard, t‐distributed stochastic neighboring embedding (tSNE) is the most popular algorithm for single‐cell RNA sequencing and cytometry by time‐of‐flight (CyTOF), but its application...

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Publicado no:Cytometry A
Main Authors: Mazza, Emilia Maria Cristina, Brummelman, Jolanda, Alvisi, Giorgia, Roberto, Alessandra, De Paoli, Federica, Zanon, Veronica, Colombo, Federico, Roederer, Mario, Lugli, Enrico
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley & Sons, Inc. 2018
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6175173/
https://ncbi.nlm.nih.gov/pubmed/30107099
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.23566
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