Concepedia

Reference-based Doublet Detection

Reference-Based Doublet Detection is a doublet detection method that identifies artificial hybrid cells in single-cell RNA sequencing data by leveraging a known reference profile of expected cell states to distinguish genuine biological signals from technical artifacts.

3

Publications

1.6K

Citations

11

Authors

6

Institutions

Publications per year

2017–2026

3

Parents

Publications

3

1–3 of 3

Authors

11

  1. MD
    Mark D. Robinson

    University of Zurich, 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. WM
    Will Macnair

    Roche (Switzerland), Switzerland

    2 publications · 1.5K citations

    2

    h-index

  5. GS
    G. Sean Escola

    Columbia University, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 11

Institutions

6

  1. University of Zurich

    Zurich, Switzerland

    2 h-index

    4 publications

    3.1K citations

  2. SIB Swiss Institute of Bioinformatics

    Lausanne, Switzerland

    2 h-index

    4 publications

    3.1K citations

  3. Roche (Switzerland)

    Basel, Switzerland

    2 h-index

    2 publications

    1.5K citations

  4. ETH Zurich

    Zurich, Switzerland

    2 h-index

    3 publications

    2.2K citations

  5. Columbia University

    New York, United States

    1 h-index

    1 publications

    16 citations

  6. University of California, San Francisco

    San Francisco, United States

    1 h-index

    1 publications

    16 citations

1–6 of 6

Venues

  1. F1000Research

    2 publications · 1.5K citations

    2

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 16 citations

    1

    h-index

1–2