Interaction Network Motif Analysis

Interaction Network Motif Analysis is a computational method that identifies statistically overrepresented small subgraph patterns within protein-protein interaction networks to infer functional modules and evolutionary design principles.

29

Publications

1.4K

Citations

117

Authors

73

Institutions

Publications per year

2017–2026

7

Authors

117

  1. DS
    Dennis Shasha

    New York University, United States

    2 publications · 34 citations

    2

    h-index

  2. TT
    Thomas Thorne

    Imperial College London, United Kingdom

    2 publications · 93 citations

    2

    h-index

  3. RG
    Rosalba Giugno

    University of Catania, Italy

    2 publications · 34 citations

    2

    h-index

  4. FR
    Fabio Rinnone

    University of Toronto, Canada

    2 publications · 34 citations

    2

    h-index

  5. AF
    Alfredo Ferro

    University of Catania, Italy

    2 publications · 34 citations

    2

    h-index

1–5 of 117

Venues

  1. BMC Bioinformatics

    3 publications · 66 citations

    3

    h-index

  2. BMC Systems Biology

    2 publications · 59 citations

    2

    h-index

  3. BMC Genomics

    2 publications · 54 citations

    2

    h-index

  4. F1000Research

    2 publications · 34 citations

    2

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 546 citations

    1

    h-index

1–5