Correlation Network Visualization

Correlation Network Visualization is a visualization framework that represents pairwise correlations among biological entities as nodes and edges within a network structure, specifically designed to reveal higher-order dependency patterns in multi-omics data.

14

Publications

5.7K

Citations

55

Authors

34

Institutions

Publications per year

2017–2026

7

Authors

55

  1. MM
    Marek Mutwil

    Nanyang Technological University, Singapore

    1 publications · 217 citations

    1

    h-index

  2. AS
    Ali Shojaie

    University of Washington, United States

    1 publications · 10 citations

    1

    h-index

  3. DP
    Diego Pinheiro

    University of California, Davis, United States

    1 publications · 19 citations

    1

    h-index

  4. FF
    Francisco Ferreira de Campos

    Serviço Geológico do Brasil - CPRM, Brazil

    1 publications · 11 citations

    1

    h-index

  5. MJ
    Melissa J. Davis

    Walter and Eliza Hall Institute of Medical Research, Australia

    1 publications · 325 citations

    1

    h-index

1–5 of 55

Venues

  1. BioData Mining

    1 publications · 325 citations

    1

    h-index

  2. Genome biology

    1 publications · 11 citations

    1

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 38 citations

    1

    h-index

  4. Euphytica

    1 publications · 91 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 10 citations

    1

    h-index

1–5