Pathway Community Detection

Pathway Community Detection is a computational method that identifies densely interconnected subnetworks within biological pathways by applying graph-theoretical algorithms to reveal functional modules or organizational units in pathway topology.

9

Publications

431

Citations

48

Authors

32

Institutions

Publications per year

2017–2026

5

Authors

48

  1. SR
    Sara Rahiminejad

    San Diego Supercomputer Center, United States

    1 publications · 105 citations

    1

    h-index

  2. LC
    Leon Chlon

    Cancer Imaging Centre

    1 publications · 53 citations

    1

    h-index

  3. MV
    Marcelo V.C. Diniz

    Universidade Federal da Bahia, Brazil

    1 publications · 44 citations

    1

    h-index

  4. AC
    Alberto Calderone

    University of Rome Tor Vergata, Italy

    1 publications · 40 citations

    1

    h-index

  5. GA
    Gregory A. Poland

    Mayo Clinic in Florida, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 48

Venues

  1. BMC Bioinformatics

    3 publications · 253 citations

    3

    h-index

  2. PLoS Medicine

    1 publications · 53 citations

    1

    h-index

  3. Frontiers in Genetics

    1 publications · 13 citations

    1

    h-index

  4. Genomics Proteomics & Bioinformatics

    1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5