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
118
Damian Szklarczyk, Annika L. Gable, David Lyon et al. · Nucleic Acids Research · 2018 · 19.2K citations · Full text
ShinyGO: a graphical gene-set enrichment tool for animals and plants
Xijin Ge, Dongmin Jung, Runan Yao · Bioinformatics · 2019 · 5.3K citations · Full text
Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation
Daniele Merico, Ruth Isserlin, Oliver Stueker et al. · PLoS ONE · 2010 · 2.4K citations · Full text
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Science for Life Laboratory
Stockholm, Sweden
7 h-index
19 publications
952 citations

Karolinska Institutet
Stockholm, Sweden
7 h-index
23 publications
1K citations

University of Toronto
Toronto, Canada
6 h-index
16 publications
13.7K citations
Gladstone Institutes
San Francisco, United States
6 h-index
11 publications
1K citations

University of British Columbia
Vancouver, Canada
5 h-index
5 publications
591 citations

University of Southern Denmark
Odense, Denmark
4 h-index
26 publications
943 citations
University of California San Diego
San Diego, United States
4 h-index
4 publications
515 citations
Yonsei University
Seoul, South Korea
4 h-index
8 publications
5.6K citations
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20 publications · 6.5K citations
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15 publications · 1.2K citations
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14 publications · 20.8K citations
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7 publications · 2.7K citations
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5 publications · 685 citations
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