Cross-omics Correlation Analysis

Cross-Omics Correlation Analysis is a computational method that identifies and quantifies statistical associations between molecular measurements across distinct omics layers, such as genomics, transcriptomics, proteomics, and metabolomics, to uncover regulatory relationships and biological coherence in integrated biological systems.

21

Publications

1.6K

Citations

252

Authors

122

Institutions

Publications per year

2017–2026

17

Authors

252

  1. WS
    Wei Shao

    Regenstrief Institute, United States

    2 publications · 630 citations

    2

    h-index

  2. ZH
    Zhi Huang

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 630 citations

    2

    h-index

  3. JZ
    Jie Zhang

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 630 citations

    2

    h-index

  4. ZD
    Zhengming Ding

    Northeastern University, United States

    2 publications · 630 citations

    2

    h-index

  5. JK
    Jos Kleinjans

    Maastricht University, Netherlands

    2 publications · 65 citations

    2

    h-index

1–5 of 252

Venues

  1. Scientific Reports

    2 publications · 60 citations

    2

    h-index

  2. 2

    h-index

  3. Nature Communications

    2 publications · 686 citations

    2

    h-index

  4. Frontiers in Immunology

    1 publications · 94 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 10 citations

    1

    h-index

1–5