Pathway Over-representation Analysis
Pathway Over-Representation Analysis is a computational method in bioinformatics that identifies statistically enriched biological pathways within a set of genes or proteins of interest by comparing their occurrence against a background distribution, thereby highlighting functional themes associated with the input dataset.
44
Publications
5K
Citations
297
Authors
164
Institutions
Publications per year
2017–2026
26
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Ora
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Reactome pathway analysis: a high-performance in-memory approach
Antonio Fabregat, Konstantinos Sidiropoulos, Guilherme Viteri et al. · BMC Bioinformatics · 2017 · 927 citations · Full text
GeneTrail--advanced gene set enrichment analysis
Christina Backes, Andreas Keller, Jan Kuentzer et al. · Nucleic Acids Research · 2007 · 345 citations · Full text
EnrichNet: network-based gene set enrichment analysis
Enrico Glaab, Anaı̈s Baudot, Natalio Krasnogor et al. · Bioinformatics · 2012 · 317 citations · Full text
GO-Elite: a flexible solution for pathway and ontology over-representation
Alexander C. Zambon, Stan Gaj, Isaac Ho et al. · Bioinformatics · 2012 · 283 citations · Full text
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164
Harvard University
Cambridge, United States
4 h-index
16 publications
1.3K citations

Imperial College London
London, United Kingdom
3 h-index
9 publications
223 citations

Saarland University
Saarbrücken, Germany
3 h-index
17 publications
4K citations

University of Southern Denmark
Odense, Denmark
2 h-index
2 publications
47 citations

University of British Columbia
Vancouver, Canada
2 h-index
5 publications
151 citations
Université Paris Cité
Paris, France
2 h-index
7 publications
153 citations

Helmholtz Zentrum München
Munich, Germany
2 h-index
2 publications
54 citations

University of Toronto
Toronto, Canada
2 h-index
2 publications
944 citations
1–8 of 164
8 publications · 2.1K citations
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4 publications · 336 citations
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4 publications · 109 citations
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Repository · 2 publications · 78 citations
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2 publications · 40 citations
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