Umap Visualization
Umap Visualization is a dimensionality reduction technique that preserves both local and global data structures by constructing a topological representation of high-dimensional data through probabilistic modeling and graph layout optimization.
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Publications
5.9K
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17
Authors
9
Institutions
Publications per year
2017–2026
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Dimensionality reduction for visualizing single-cell data using UMAP
Étienne Becht, Leland McInnes, John Healy et al. · Nature Biotechnology · 2018 · 5.8K citations
Seeing data as t-SNE and UMAP do
Vivien Marx · Nature Methods · 2024 · 58 citations · Full text
Songting Shi · arXiv (Cornell University) · 2021 · 27 citations · Full text
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Heidelberg University
Heidelberg, Germany
1 h-index
1 publications
15 citations

Southwest Medical University
Luzhou, China
1 h-index
2 publications
32 citations
Guizhou Education University
Guiyang, China
1 h-index
1 publications
16 citations
Agency for Science, Technology and Research
Singapore, Singapore
1 h-index
6 publications
34.5K citations
Fred Hutch Cancer Center
Seattle, United States
1 h-index
1 publications
5.8K citations
Naturex (France)
Avignon, France
1 h-index
1 publications
58 citations

Sichuan University
Chengdu, China
1 h-index
2 publications
32 citations

The Nature Conservancy
Arlington, United States
1 h-index
1 publications
58 citations
1–8 of 9
Repository · 2 publications · 42 citations
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1 publications · 16 citations
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1 publications · 58 citations
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1 publications · 5.8K citations
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1 publications · 15 citations
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