Cluster Annotation

Cluster Annotation is a methodological contribution in single-cell data analysis that entails the biological interpretation of cell clusters by assigning biologically meaningful labels based on marker gene expression or functional profiles, thereby distinguishing it from other clustering steps through its focus on functional and biological identity inference.

57

Publications

4.7K

Citations

268

Authors

131

Institutions

Publications per year

2017–2026

30

Authors

268

  1. GD
    Gary D. Bader

    University of Toronto, Canada

    3 publications · 521 citations

    3

    h-index

  2. AR
    Alexander R. Pico

    Gladstone Institutes, United States

    2 publications · 121 citations

    2

    h-index

  3. JJ
    J. Javier Díaz-Mejía

    University of Toronto, Canada

    2 publications · 121 citations

    2

    h-index

  4. TK
    Troy Ketela

    University of Toronto, Canada

    2 publications · 121 citations

    2

    h-index

  5. TJ
    Trevor J. Pugh

    Princess Margaret Cancer Centre, Canada

    2 publications · 121 citations

    2

    h-index

1–5 of 268

Venues

  1. Bioinformatics

    7 publications · 352 citations

    7

    h-index

  2. BMC Bioinformatics

    3 publications · 333 citations

    3

    h-index

  3. Nature Communications

    3 publications · 1.1K citations

    3

    h-index

  4. Nucleic Acids Research

    3 publications · 111 citations

    3

    h-index

  5. F1000Research

    3 publications · 521 citations

    3

    h-index

1–5