Plate-based Doublet Detection

Plate-Based Doublet Detection is a methodological framework in single-cell genomics that identifies artificial doublets—spurious signals arising from the co-occurrence of two distinct cells in a single droplet or well—specifically within plate-based single-cell sequencing platforms by leveraging well-specific barcoding and gene expression profiles to distinguish genuine biological signals from technical artifacts.

2

Publications

1.5K

Citations

5

Authors

4

Institutions

Publications per year

2017–2026

2

Authors

5

  1. WM
    Will Macnair

    Roche (Switzerland), Switzerland

    2 publications · 1.5K citations

    2

    h-index

  2. AT
    Aaron T. L. Lun

    University of Cambridge, United Kingdom

    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. MD
    Mark D. Robinson

    University of Zurich, Switzerland

    2 publications · 1.5K citations

    2

    h-index

  5. CG
    Carlos Garcia Meixide

    Roche (Switzerland), Switzerland

    1 publications · 618 citations

    1

    h-index

1–5 of 5

Institutions

4

Venues

  1. F1000Research

    2 publications · 1.5K citations

    2

    h-index

1–1