Subpopulation Discovery

Subpopulation Discovery is a methodological contribution in single-cell clustering that identifies and characterizes distinct, biologically meaningful cell types or states within heterogeneous populations by differentiating them from the broader cellular mixture based on unique molecular signatures.

166

Publications

15K

Citations

1K

Authors

436

Institutions

Publications per year

2017–2026

95

Authors

1K

  1. CS
    Charlotte Soneson

    SIB Swiss Institute of Bioinformatics, Switzerland

    5 publications · 1.2K citations

    5

    h-index

  2. MD
    Mark D. Robinson

    University of Zurich, Switzerland

    5 publications · 1.2K citations

    5

    h-index

  3. AD
    Angelo Duò

    University of Zurich, Switzerland

    3 publications · 675 citations

    3

    h-index

  4. JA
    Jonathan A. Rebhahn

    University of Rochester Medical Center, United States

    3 publications · 213 citations

    3

    h-index

  5. GS
    Gaurav Sharma

    University of Rochester, United States

    3 publications · 213 citations

    3

    h-index

1–5 of 1K

Venues

  1. Scientific Reports

    6 publications · 932 citations

    6

    h-index

  2. Nature Communications

    4 publications · 848 citations

    4

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 94 citations

    4

    h-index

  4. PLoS Computational Biology

    3 publications · 57 citations

    3

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 427 citations

    3

    h-index

1–5