Comparative Enrichment Analysis
Comparative Enrichment Analysis is a computational approach within functional enrichment analysis that systematically identifies and quantifies differences in enriched biological functions, pathways, or annotations across distinct experimental conditions, datasets, or biological states by contrasting their respective enrichment profiles.
54
Publications
44.2K
Citations
346
Authors
147
Institutions
Publications per year
2017–2026
30
54
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Guangchuang Yu, Li-Gen Wang, Yanyan Han et al. · OMICS A Journal of Integrative Biology · 2012 · 38.3K citations
agriGO: a GO analysis toolkit for the agricultural community
Zhou Du, Xin Zhou, Yi Ling et al. · Nucleic Acids Research · 2010 · 2.5K citations · Full text
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University of Massachusetts Chan Medical School, United States
2 publications · 301 citations
2
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1–5 of 346
147

Chinese Academy of Sciences
Beijing, China
4 h-index
16 publications
618 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
301 citations

Yangzhou University
Yangzhou, China
2 h-index
9 publications
209 citations
Universitat de Barcelona
Barcelona, Spain
2 h-index
9 publications
1.6K citations
China Agricultural University
Beijing, China
2 h-index
11 publications
12.8K citations
Consejo Superior de Investigaciones Científicas
Madrid, Spain
2 h-index
8 publications
1.8K citations

Soochow University
Suzhou, China
2 h-index
4 publications
112 citations
Shandong University
Jinan, China
2 h-index
5 publications
199 citations
1–8 of 147
6 publications · 515 citations
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5 publications · 3.5K citations
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5 publications · 140 citations
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2 publications · 49 citations
2
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2 publications · 235 citations
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