Cluster-based Enrichment Analysis
Cluster-Based Enrichment Analysis is a functional enrichment analysis approach that identifies overrepresented biological functions within clusters of genes or proteins derived from high-throughput data, distinguished by its reliance on grouping entities based on similarity in expression, interaction, or other functional profiles prior to enrichment assessment.
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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
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Heidelberg University
Heidelberg, Germany
2 h-index
3 publications
363 citations
Deutsches Konsortium für Translationale Krebsforschung
Heidelberg, Germany
2 h-index
2 publications
334 citations

University Hospital Heidelberg
Heidelberg, Germany
2 h-index
2 publications
334 citations
National Center for Tumor Diseases
Heidelberg, Germany
2 h-index
4 publications
668 citations
University of California San Diego
San Diego, United States
2 h-index
8 publications
144 citations
German Cancer Research Center
Heidelberg, Germany
2 h-index
3 publications
363 citations
Heidelberg Institute for Stem Cell Technology and Experimental Medicine
Heidelberg, Germany
2 h-index
2 publications
334 citations

Iran University of Medical Sciences
Tehran, Iran
1 h-index
5 publications
130 citations
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4 publications · 219 citations
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3 publications · 71 citations
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JCIM · 2 publications · 88 citations
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2 publications · 100 citations
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1 publications · 36 citations
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