Cross-omics Correlation Networks

Cross-Omics Correlation Networks is a computational framework that integrates multiple omics data types by constructing a network representation in which nodes correspond to molecular features across distinct omics layers and edges represent statistically significant correlations between them, enabling the systematic identification of inter-omics interactions underlying complex biological processes.

6

Publications

135

Citations

55

Authors

28

Institutions

Publications per year

2017–2026

5

Authors

55

  1. ZD
    Zhengming Ding

    Northeastern University, United States

    2 publications · 55 citations

    2

    h-index

  2. AK
    Alicia K. Byrd

    University of Arkansas for Medical Sciences, United States

    1 publications · 17 citations

    1

    h-index

  3. AA
    Alexander Amberg

    Sanofi (Germany), Germany

    1 publications · 40 citations

    1

    h-index

  4. KO
    K. Olaf Boernsen

    Novartis (Switzerland), Switzerland

    1 publications · 40 citations

    1

    h-index

  5. HT
    Haixu Tang

    Indiana University Bloomington, United States

    1 publications · 34 citations

    1

    h-index

1–5 of 55

Venues

  1. Toxicology and Applied Pharmacology

    TAAP · 1 publications · 40 citations

    1

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 34 citations

    1

    h-index

  3. Briefings in Bioinformatics

    1 publications · 13 citations

    1

    h-index

  4. BMC Bioinformatics

    1 publications · 10 citations

    1

    h-index

  5. Computers in Biology and Medicine

    1 publications · 21 citations

    1

    h-index

1–5