Data Normalization In Genomics

Data Normalization in Genomics is a computational procedure that adjusts genomic datasets to remove technical variations and biases, thereby enabling accurate comparisons across samples and experiments by aligning data distributions while preserving biological differences.

273

Publications

36.5K

Citations

1.1K

Authors

509

Institutions

Publications per year

2017–2026

63

Authors

1.1K

  1. TP
    Terence P. Speed

    Walter and Eliza Hall Institute of Medical Research, Australia

    8 publications · 11.6K citations

    8

    h-index

  2. RA
    Rafael A. Irizarry

    Johns Hopkins University, United States

    7 publications · 9.5K citations

    7

    h-index

  3. DR
    Davide Risso

    University of California, Berkeley, United States

    6 publications · 2.5K citations

    6

    h-index

  4. JQ
    John Quackenbush

    Dana-Farber Cancer Institute, United States

    5 publications · 384 citations

    5

    h-index

  5. KD
    Kasper D. Hansen

    Johns Hopkins University, United States

    5 publications · 1.7K citations

    5

    h-index

1–5 of 1.1K

Venues

  1. BMC Bioinformatics

    45 publications · 3.5K citations

    30

    h-index

  2. Bioinformatics

    44 publications · 12.2K citations

    30

    h-index

  3. Nucleic Acids Research

    18 publications · 6.2K citations

    16

    h-index

  4. PLoS ONE

    12 publications · 520 citations

    12

    h-index

  5. Genome biology

    8 publications · 2K citations

    8

    h-index

1–5