Dimensionality reduction for visualizing single-cell data using UMAP
Étienne Becht; Leland McInnes; John Healy; Charles‐Antoine Dutertre; Immanuel Kwok; Lai Guan Ng; Florent Ginhoux; Evan W. Newell · Nature Biotechnology · 2018
Resource access
Open the content from the main option or choose another available source.
Resource page
How to cite
Elegí el formato que necesitás y copiá la referencia al portapapeles.
APA 7
Becht, É, McInnes, L, Healy, J, Dutertre, C, Kwok, I, Ng, L. G, Ginhoux, F, & Newell, E. W. (2018). Dimensionality reduction for visualizing single-cell data using UMAP. https://doi.org/10.1038/nbt.4314
MLA
Becht, Étienne, et al. "Dimensionality reduction for visualizing single-cell data using UMAP." 2018. https://doi.org/10.1038/nbt.4314.
Chicago
Becht, Étienne, Leland McInnes, John Healy, Charles‐Antoine Dutertre, Immanuel Kwok, Lai Guan Ng, Florent Ginhoux, and Evan W. Newell. 2018. "Dimensionality reduction for visualizing single-cell data using UMAP.". https://doi.org/10.1038/nbt.4314.
Harvard
Becht, É. et al. 2018, Dimensionality reduction for visualizing single-cell data using UMAP, Nature Biotechnology, available at: https://doi.org/10.1038/nbt.4314 [Accessed 7 Aug. 2026].
Resource details
Bibliographic information to help confirm that this is the correct material.
- Title
- Dimensionality reduction for visualizing single-cell data using UMAP
- Author / contributors
- Étienne Becht; Leland McInnes; John Healy; Charles‐Antoine Dutertre; Immanuel Kwok; Lai Guan Ng; Florent Ginhoux; Evan W. Newell
- Publisher
- Nature Biotechnology
- Publication year
- 2018
- Language
- English
Subjects
Explore related resources through these subjects.