Cell Identity Annotation

Cell Identity Annotation is a computational method that assigns biologically meaningful cell type labels to individual cells based on their high-dimensional genomic profiles, distinguishing it from general clustering or dimensionality reduction techniques by its explicit focus on mapping cells to known or novel cell types within a biological taxonomy.

21

Publications

1.3K

Citations

136

Authors

64

Institutions

Publications per year

2017–2026

16

Authors

136

  1. AR
    Alistair R. R. Forrest

    RIKEN Center for Integrative Medical Sciences, Japan

    2 publications · 182 citations

    2

    h-index

  2. JC
    Jacob C. Kimmel

    Enzo Life Sciences (United States), United States

    2 publications · 138 citations

    2

    h-index

  3. SA
    Samantha A. Morris

    Washington University in St. Louis, United States

    2 publications · 264 citations

    2

    h-index

  4. DR
    David R. Kelley

    Harvard University, United States

    2 publications · 138 citations

    2

    h-index

  5. SK
    Saul Kato

    University of California, San Francisco, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 136

Venues

  1. Nature Communications

    3 publications · 164 citations

    3

    h-index

  2. Bioinformatics

    2 publications · 180 citations

    2

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 32 citations

    2

    h-index

  4. Development

    1 publications · 165 citations

    1

    h-index

  5. Nature Protocols

    1 publications · 99 citations

    1

    h-index

1–5