Underrepresented Motifs

Underrepresented Motifs is a network motif that occurs significantly less frequently than expected by chance in a given biological or complex network, distinguishing it from other motifs by its lower statistical prevalence relative to a null model.

24

Publications

1.9K

Citations

86

Authors

51

Institutions

Publications per year

2017–2026

1

Variants

Anti-motifs

Authors

86

  1. MK
    Matti Kankainen

    University of Helsinki, Finland

    2 publications · 81 citations

    2

    h-index

  2. ML
    Magali Lescot

    Centre National de la Recherche Scientifique, France

    2 publications · 156 citations

    2

    h-index

  3. SR
    Stéphane Rombauts

    Ghent University, Belgium

    2 publications · 156 citations

    2

    h-index

  4. GT
    Gert Thijs

    KU Leuven, Belgium

    2 publications · 156 citations

    2

    h-index

  5. TK
    Tamer Kahveci

    University of Florida, United States

    2 publications · 53 citations

    2

    h-index

1–5 of 86

Venues

  1. Nucleic Acids Research

    5 publications · 305 citations

    5

    h-index

  2. BMC Bioinformatics

    3 publications · 68 citations

    3

    h-index

  3. Computer applications in the biosciences

    CABIOS · 2 publications · 107 citations

    2

    h-index

  4. Bioinformatics

    2 publications · 99 citations

    2

    h-index

  5. PLoS Genetics

    1 publications · 197 citations

    1

    h-index

1–5