Dimensionality reduction by UMAP for visualizing and aiding in classification of imaging flow cytometry data

Recent advances in imaging flow cytometry (IFC) have revolutionized high-throughput multiparameter analyses at single-cell resolution. Although enabling the discovery of population heterogeneities and the detection of rare events, IFC generates hyperdimensional datasets that demand innovative analyt...

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Detalles Bibliográficos
Autores principales: Stolarek, Ireneusz, Samelak-Czajka, Anna, Figlerowicz, Marek, Jackowiak, Paulina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526149/
https://www.ncbi.nlm.nih.gov/pubmed/36193047
http://dx.doi.org/10.1016/j.isci.2022.105142

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526149/
https://www.ncbi.nlm.nih.gov/pubmed/36193047
http://dx.doi.org/10.1016/j.isci.2022.105142

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