Concepedia

Umap Embedding Visualization

UMAP Embedding Visualization is a dimensionality reduction technique that preserves both local and global structure of high-dimensional single-cell data by constructing a topological representation in lower-dimensional space through probabilistic neighbor assignment and graph layout optimization.

1

Publications

5.8K

Citations

8

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–1 of 1

Authors

8

  1. IK
    Immanuel Kwok

    Singapore Immunology Network, Singapore

    1 publications · 5.8K citations

    1

    h-index

  2. FG
    Florent Ginhoux

    Singapore Immunology Network, Singapore

    1 publications · 5.8K citations

    1

    h-index

  3. LM
    Leland McInnes

    University of California San Diego, United States

    1 publications · 5.8K citations

    1

    h-index

  4. EW
    Evan W. Newell

    Singapore Immunology Network, Singapore

    1 publications · 5.8K citations

    1

    h-index

  5. LG
    Lai Guan Ng

    Singapore Immunology Network, Singapore

    1 publications · 5.8K citations

    1

    h-index

1–5 of 8

Institutions

3

  1. Agency for Science, Technology and Research

    Singapore, Singapore

    1 h-index

    6 publications

    34.5K citations

  2. Singapore Immunology Network

    Singapore, Singapore

    1 h-index

    6 publications

    34.5K citations

  3. Fred Hutch Cancer Center

    Seattle, United States

    1 h-index

    1 publications

    5.8K citations

1–3 of 3

Venues

  1. Nature Biotechnology

    1 publications · 5.8K citations

    1

    h-index

1–1