Cell Annotation Visualization

Cell Annotation Visualization is a methodological framework within single-cell visualization that enables the graphical representation and interpretation of annotated cell types or states derived from high-throughput transcriptomic data, distinguished by its integration of biological metadata with spatial or pseudospatial cellular embeddings.

5

Publications

666

Citations

27

Authors

16

Institutions

Publications per year

2017–2026

3

Authors

27

  1. MH
    Maximilian Haeussler

    University of California, Santa Cruz, United States

    2 publications · 295 citations

    2

    h-index

  2. WJ
    W. James Kent

    University of California, Santa Cruz, United States

    2 publications · 295 citations

    2

    h-index

  3. AB
    Aparna Bhaduri

    University of California, San Francisco, United States

    2 publications · 295 citations

    2

    h-index

  4. ML
    Matthew L Speir

    University of California, Santa Cruz, United States

    2 publications · 295 citations

    2

    h-index

  5. PM
    Pablo Moreno

    European Bioinformatics Institute, United Kingdom

    2 publications · 295 citations

    2

    h-index

1–5 of 27

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 16 citations

    1

    h-index

  2. PLoS Computational Biology

    1 publications · 81 citations

    1

    h-index

  3. Computerized Medical Imaging and Graphics

    CMIG · 1 publications · 11 citations

    1

    h-index

  4. Scientific Data

    1 publications · 279 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 279 citations

    1

    h-index

1–5