Network-based Enrichment Analysis

Network-Based Enrichment Analysis is a computational method that integrates biological network topology with functional annotation data to identify significantly overrepresented functions or pathways within a set of genes or proteins, distinguishing itself from traditional enrichment approaches by explicitly considering molecular interactions and connectivity patterns.

118

Publications

35.6K

Citations

620

Authors

275

Institutions

Publications per year

2017–2026

58

Authors

620

  1. AA
    Andrey Alexeyenko

    Karolinska Institutet, Sweden

    6 publications · 294 citations

    6

    h-index

  2. RI
    Ruth Isserlin

    University of Toronto, Canada

    6 publications · 3.1K citations

    6

    h-index

  3. AR
    Alexander R. Pico

    Gladstone Institutes, United States

    6 publications · 910 citations

    6

    h-index

  4. BD
    Barry Demchak

    University of California San Diego, United States

    4 publications · 515 citations

    4

    h-index

  5. JB
    Jan Baumbach

    University of Southern Denmark, Denmark

    4 publications · 148 citations

    4

    h-index

1–5 of 620

Venues

  1. Bioinformatics

    20 publications · 6.5K citations

    16

    h-index

  2. BMC Bioinformatics

    15 publications · 1.2K citations

    15

    h-index

  3. Nucleic Acids Research

    14 publications · 20.8K citations

    14

    h-index

  4. PLoS ONE

    7 publications · 2.7K citations

    7

    h-index

  5. F1000Research

    5 publications · 685 citations

    5

    h-index

1–5