Cell-type Annotation Visualization

Cell-Type Annotation Visualization is a single-cell data visualization method that specifically enables the graphical representation and interpretation of cell-type labels inferred from molecular profiles, distinguishing itself by integrating biological annotation with spatial or dimensional reduction layouts to facilitate biological insight into cellular heterogeneity.

10

Publications

669

Citations

48

Authors

26

Institutions

Publications per year

2017–2026

8

Authors

48

  1. GV
    Golnaz Vahedi

    University of Pennsylvania, United States

    2 publications · 115 citations

    2

    h-index

  2. TJ
    Tomasz J. Nowakowski

    University of California, San Francisco, United States

    2 publications · 295 citations

    2

    h-index

  3. LX
    Lanwei Xu

    University of Pennsylvania, United States

    2 publications · 115 citations

    2

    h-index

  4. NS
    Nikolay S. Markov

    Northwestern University, United States

    2 publications · 295 citations

    2

    h-index

  5. IP
    Irene Papatheodorou

    European Bioinformatics Institute, United Kingdom

    2 publications · 295 citations

    2

    h-index

1–5 of 48

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 32 citations

    2

    h-index

  2. Bioinformatics

    2 publications · 323 citations

    2

    h-index

  3. PLoS Computational Biology

    2 publications · 130 citations

    2

    h-index

  4. Computerized Medical Imaging and Graphics

    CMIG · 1 publications · 11 citations

    1

    h-index

  5. Nature Methods

    1 publications · 99 citations

    1

    h-index

1–5