Epigenomic Network Analysis

Epigenomic Network Analysis is a computational framework that integrates epigenomic data across multiple regulatory layers to model interactions among epigenetic marks, genomic elements, and regulatory proteins, distinguishing it from other epigenomic analyses by its focus on system-level, network-based inference of epigenetic regulation.

47

Publications

2.6K

Citations

307

Authors

130

Institutions

Publications per year

2017–2026

26

Authors

307

  1. BZ
    Bin Zhang

    University of California, Los Angeles, United States

    1 publications · 73 citations

    2

    h-index

  2. CL
    Chengwei Li

    National Tsing Hua University, Taiwan

    2 publications · 60 citations

    2

    h-index

  3. VP
    Véra Pancaldi

    Inserm, France

    2 publications · 38 citations

    2

    h-index

  4. BC
    Bor‐Sen Chen

    National Tsing Hua University, Taiwan

    2 publications · 60 citations

    2

    h-index

  5. AE
    Andrew E. Teschendorff

    University College London, United Kingdom

    2 publications · 123 citations

    2

    h-index

1–5 of 307

Venues

  1. Scientific Reports

    3 publications · 180 citations

    3

    h-index

  2. BMC Bioinformatics

    3 publications · 126 citations

    3

    h-index

  3. EBioMedicine

    2 publications · 401 citations

    2

    h-index

  4. Biochemical and Biophysical Research Communications

    BBRC · 2 publications · 32 citations

    2

    h-index

  5. Genome Research

    GR · 1 publications · 79 citations

    2

    h-index

1–5