Single-cell Quality Control

Single-Cell Quality Control is a computational and statistical preprocessing framework in single-cell omics analysis that evaluates cell- and library-level quality metrics (such as read depth, gene complexity, and mitochondrial content) to identify and exclude low-quality or artifactual measurements while preserving biologically meaningful variation for downstream inference.

152

Publications

18.1K

Citations

1K

Authors

372

Institutions

Publications per year

2017–2026

113

Authors

1K

  1. MD
    Mark D. Robinson

    University of Zurich, Switzerland

    5 publications · 1.6K citations

    5

    h-index

  2. AT
    Aaron T. L. Lun

    University of Cambridge, United Kingdom

    4 publications · 3.6K citations

    4

    h-index

  3. DJ
    Davis J. McCarthy

    St Vincents Institute of Medical Research, Australia

    4 publications · 3.4K citations

    4

    h-index

  4. KS
    Ken S. Lau

    Vanderbilt University, United States

    3 publications · 99 citations

    3

    h-index

  5. CM
    Catherine M. Grgicak

    Boston University, United States

    3 publications · 45 citations

    3

    h-index

1–5 of 1K

Venues

  1. Bioinformatics

    11 publications · 3K citations

    11

    h-index

  2. Scientific Reports

    8 publications · 387 citations

    8

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 299 citations

    8

    h-index

  4. Cytometry Part A

    7 publications · 340 citations

    7

    h-index

  5. Genome biology

    7 publications · 1.8K citations

    7

    h-index

1–5