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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |