Quality Control For Doublets

Quality Control for Doublets is a methodological framework designed to identify and mitigate spurious or artificially generated doublets in single-cell RNA sequencing data, distinguishing itself through its specific focus on maintaining data integrity by detecting erroneous cellular doublet calls arising from technical artifacts rather than biological origins.

5

Publications

1.7K

Citations

27

Authors

8

Institutions

Publications per year

2017–2026

4

Authors

27

  1. PG
    Pierre‐Luc Germain

    University of Zurich, Switzerland

    2 publications · 1.5K citations

    2

    h-index

  2. WM
    Will Macnair

    Roche (Switzerland), Switzerland

    2 publications · 1.5K citations

    2

    h-index

  3. AT
    Aaron T. L. Lun

    University of Cambridge, United Kingdom

    2 publications · 1.5K citations

    2

    h-index

  4. MD
    Mark D. Robinson

    University of Zurich, Switzerland

    2 publications · 1.5K citations

    2

    h-index

  5. SA
    Salam AlAbdullatif

    Boston University, United States

    1 publications · 83 citations

    1

    h-index

1–5 of 27

Venues

  1. F1000Research

    2 publications · 1.5K citations

    2

    h-index

  2. Nature Communications

    1 publications · 83 citations

    1

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 20 citations

    1

    h-index

  4. Journal of Molecular Evolution

    1 publications · 13 citations

    1

    h-index

1–4