Multi-omics Correlation Analysis

Multi-Omics Correlation Analysis is a computational methodological framework that identifies and quantifies statistical associations across multiple biological omics layers—such as genomics, transcriptomics, and proteomics—to uncover coordinated molecular variations underlying complex biological processes.

157

Publications

7.7K

Citations

1.2K

Authors

490

Institutions

Publications per year

2017–2026

143

Authors

1.2K

  1. BK
    Bernhard Küster

    Technical University of Munich, Germany

    4 publications · 970 citations

    4

    h-index

  2. SD
    Sébastien Dejean

    Université Toulouse III - Paul Sabatier, France

    3 publications · 806 citations

    3

    h-index

  3. KH
    Kun Huang

    The Ohio State University, United States

    3 publications · 883 citations

    3

    h-index

  4. CM
    Chen Meng

    Technical University of Munich, Germany

    3 publications · 235 citations

    3

    h-index

  5. TL
    Tuuli Lappalainen

    New York Genome Center, United States

    2 publications · 53 citations

    2

    h-index

1–5 of 1.2K

Venues

  1. Scientific Reports

    5 publications · 199 citations

    5

    h-index

  2. Journal of Translational Medicine

    JTM · 5 publications · 172 citations

    5

    h-index

  3. PLoS ONE

    3 publications · 91 citations

    4

    h-index

  4. Bioinformatics

    4 publications · 1K citations

    4

    h-index

  5. Nature Communications

    3 publications · 686 citations

    3

    h-index

1–5