Concepedia

Transcriptomic Doublet Detection

Transcriptomic Doublet Detection is a computational method designed to identify artifactual multiplets arising from the co-encapsulation of multiple cells in single-cell RNA sequencing experiments, distinguishing them from genuine single-cell transcriptional profiles.

22

Publications

10.4K

Citations

106

Authors

56

Institutions

Publications per year

2017–2026

21

Parents

Publications

22

DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors

Christopher S. McGinnis, Lyndsay M. Murrow, Zev J. Gartner · Cell Systems · 2019 · 4.6K citations · Full text

, , +17

Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data

Samuel L. Wolock, Romain Lopez, Allon M. Klein · Cell Systems · 2019 · 2.9K citations · Full text

, , +16

Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics

Marlon Stoeckius, Shiwei Zheng, Brian Houck‐Loomis et al. · Genome biology · 2018 · 1.1K citations · Full text

, , +16

scds: computational annotation of doublets in single-cell RNA sequencing data

Abha Bais, Dennis Kostka · Bioinformatics · 2019 · 318 citations · Full text

, , +17

Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning

Nicholas Bernstein, Nicole L. Fong, Irene Lam et al. · Cell Systems · 2020 · 294 citations · Full text

, , +16

1–5 of 22

Authors

106

  1. CS
    Christopher S. McGinnis

    University of California, San Francisco, United States

    3 publications · 4.8K citations

    3

    h-index

  2. LM
    Lyndsay M. Murrow

    University of California, San Francisco, United States

    3 publications · 4.8K citations

    3

    h-index

  3. ZJ
    Zev J. Gartner

    University of California, San Francisco, United States

    3 publications · 4.8K citations

    3

    h-index

  4. MH
    Martin Hemberg

    Wellcome Sanger Institute, United Kingdom

    3 publications · 107 citations

    3

    h-index

  5. SL
    Samuel L. Wolock

    Center for Systems Biology, United States

    2 publications · 3K citations

    2

    h-index

1–5 of 106

Institutions

56

  1. Harvard University

    Cambridge, United States

    5 h-index

    9 publications

    9.1K citations

  2. Chan Zuckerberg Initiative (United States)

    Redwood City, United States

    5 h-index

    5 publications

    4.9K citations

  3. University of California, San Francisco

    San Francisco, United States

    5 h-index

    19 publications

    14.6K citations

  4. Wellcome Sanger Institute

    Cambridge, United Kingdom

    3 h-index

    9 publications

    231 citations

  5. University of Pittsburgh

    Pittsburgh, United States

    3 h-index

    4 publications

    581 citations

  6. BioLegend (United States)

    San Diego, United States

    2 h-index

    2 publications

    1.2K citations

  7. New York Genome Center

    New York, United States

    2 h-index

    13 publications

    8.2K citations

  8. The University of Melbourne

    Melbourne, Australia

    2 h-index

    2 publications

    86 citations

1–8 of 56

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 362 citations

    8

    h-index

  2. Cell Systems

    4 publications · 8K citations

    4

    h-index

  3. Bioinformatics

    2 publications · 429 citations

    2

    h-index

  4. Genome biology

    2 publications · 1.2K citations

    2

    h-index

  5. Nature Protocols

    1 publications · 41 citations

    1

    h-index

1–5