Library Size Normalization

Library Size Normalization is a preprocessing method in single-cell RNA-seq data analysis that scales gene expression counts by the total number of reads per cell to correct for technical variability in sequencing depth while preserving relative transcript abundance.

61

Publications

10.5K

Citations

293

Authors

155

Institutions

Publications per year

2017–2026

46

Variants

Library Size Normalisation

Authors

293

  1. DR
    Davide Risso

    University of California, Berkeley, United States

    3 publications · 717 citations

    3

    h-index

  2. SA
    Sarah A. Teichmann

    Wellcome Sanger Institute, United Kingdom

    3 publications · 2.1K citations

    3

    h-index

  3. SD
    Sandrine Dudoit

    University of California, Berkeley, United States

    3 publications · 717 citations

    3

    h-index

  4. NY
    Nir Yosef

    University of California, Berkeley, United States

    3 publications · 321 citations

    3

    h-index

  5. CK
    Christina Kendziorski

    University of Wisconsin–Madison, United States

    1 publications · 21 citations

    2

    h-index

1–5 of 293

Venues

  1. Methods in molecular biology

    Book series · 12 publications · 1K citations

    12

    h-index

  2. Genome biology

    3 publications · 309 citations

    4

    h-index

  3. Nature Protocols

    3 publications · 1.4K citations

    3

    h-index

  4. BMC Genomics

    3 publications · 240 citations

    3

    h-index

  5. PLoS ONE

    2 publications · 236 citations

    2

    h-index

1–5