Cell Multiplet Detection

Cell Multiplet Detection is a computational method in single-cell genomics that identifies instances where multiple cells are inadvertently encapsulated within a single droplet or compartment during high-throughput sequencing, thereby enabling the correction of erroneous cellular co-associations in downstream analyses.

10

Publications

4.6K

Citations

75

Authors

25

Institutions

Publications per year

2017–2026

10

Authors

75

  1. RL
    Romain Lopez

    University of California, Berkeley, United States

    2 publications · 3K citations

    2

    h-index

  2. SL
    Samuel L. Wolock

    Center for Systems Biology, United States

    2 publications · 3K citations

    2

    h-index

  3. AM
    Allon M. Klein

    Harvard University, United States

    2 publications · 3K citations

    2

    h-index

  4. JB
    Jacques Banchereau

    Baylor University, United States

    1 publications · 116 citations

    1

    h-index

  5. FM
    Fabiana M. Duarte

    Harvard University, United States

    1 publications · 76 citations

    1

    h-index

1–5 of 75

Venues

  1. Genome biology

    3 publications · 1.4K citations

    3

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 65 citations

    2

    h-index

  3. BMC Genomics

    1 publications · 132 citations

    1

    h-index

  4. Nature Communications

    1 publications · 76 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 18 citations

    1

    h-index

1–5