Cell Hashing Doublet Detection

Cell Hashing Doublet Detection is a computational method in single-cell genomics that identifies doublets—artifactual multiplets arising from the co-encapsulation of multiple cells in a droplet-based assay—by leveraging discrepancies in cell-surface hash tag oligonucleotide signals to distinguish genuine single-cell events from technical multiplets.

6

Publications

1.6K

Citations

36

Authors

16

Institutions

Publications per year

2017–2026

6

Authors

36

  1. SH
    Stephanie Hao

    New York Genome Center, United States

    2 publications · 1.2K citations

    2

    h-index

  2. HS
    Harinder Singh

    University of Chicago, United States

    2 publications · 229 citations

    2

    h-index

  3. MS
    Marlon Stoeckius

    New York Genome Center, United States

    2 publications · 1.2K citations

    2

    h-index

  4. BH
    Brian Houck‐Loomis

    Memorial Sloan Kettering Cancer Center, United States

    2 publications · 1.2K citations

    2

    h-index

  5. DS
    Daniel Schnell

    Cincinnati Children's Hospital Medical Center, United States

    2 publications · 229 citations

    2

    h-index

1–5 of 36

Venues

  1. Genome biology

    2 publications · 1.2K citations

    2

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 53 citations

    2

    h-index

  3. Bioinformatics

    1 publications · 111 citations

    1

    h-index

  4. Cell Reports

    1 publications · 209 citations

    1

    h-index

  5. Nature Communications

    1 publications · 14 citations

1–5