Epigenomic Normalization

Epigenomic Normalization is a computational procedure that adjusts raw epigenomic data to correct for technical variations and biases, thereby enabling accurate comparison of epigenetic signals across samples and experiments.

30

Publications

7.6K

Citations

289

Authors

104

Institutions

Publications per year

2017–2026

12

Authors

289

  1. JA
    Jack A. Taylor

    National Institute of Environmental Health Sciences, United States

    2 publications · 333 citations

    2

    h-index

  2. ZX
    Zongli Xu

    National Institute of Environmental Health Sciences, United States

    2 publications · 333 citations

    2

    h-index

  3. JM
    Jovana Maksimovic

    Murdoch Children's Research Institute, Australia

    2 publications · 1.9K citations

    2

    h-index

  4. AO
    Alicia Oshlack

    Murdoch Children's Research Institute, Australia

    2 publications · 1.9K citations

    2

    h-index

  5. LN
    Liang Niu

    University of Cincinnati, United States

    2 publications · 333 citations

    2

    h-index

1–5 of 289

Venues

  1. Bioinformatics

    9 publications · 4.2K citations

    9

    h-index

  2. Genome biology

    3 publications · 1K citations

    3

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 45 citations

    2

    h-index

  4. Frontiers in Genetics

    2 publications · 41 citations

    2

    h-index

  5. Gene

    1 publications · 16 citations

    1

    h-index

1–5