Threshold-based Doublet Calling

Threshold-Based Doublet Calling is a doublet detection method that identifies artificial doublets in single-cell transcriptomic data by applying predefined statistical thresholds to metrics such as doublet scores or gene expression signatures derived from synthetic doublet models.

9

Publications

6.6K

Citations

18

Authors

10

Institutions

Publications per year

2017–2026

7

Authors

18

  1. WM
    Will Macnair

    Roche (Switzerland), Switzerland

    2 publications · 1.5K citations

    2

    h-index

  2. MD
    Mark D. Robinson

    University of Zurich, Switzerland

    2 publications · 1.5K citations

    2

    h-index

  3. PG
    Pierre‐Luc Germain

    University of Zurich, Switzerland

    2 publications · 1.5K citations

    2

    h-index

  4. AT
    Aaron T. L. Lun

    University of Cambridge, United Kingdom

    2 publications · 1.5K citations

    2

    h-index

  5. LM
    Lyndsay M. Murrow

    University of California, San Francisco, United States

    2 publications · 4.8K citations

    2

    h-index

1–5 of 18

Venues

  1. F1000Research

    2 publications · 1.5K citations

    2

    h-index

  2. Cell Systems

    2 publications · 4.8K citations

    2

    h-index

  3. Journal of Molecular Evolution

    2 publications · 39 citations

    2

    h-index

  4. Bioinformatics

    1 publications · 31 citations

    1

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 177 citations

    1

    h-index

1–5