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clusterProfiler 4.0: A universal enrichment tool for interpreting omics data

Tianzhi Wu; Erqiang Hu; Shuangbin Xu; Meijun Chen; Pingfan Guo; Zehan Dai; Tingze Feng; Lang Zhou · The Innovation · 2021

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Author / responsible party
Tianzhi Wu; Erqiang Hu; Shuangbin Xu; Meijun Chen; Pingfan Guo; Zehan Dai; Tingze Feng; Lang Zhou
Publisher
The Innovation
Year
2021
Language
English

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packages to offer tidy interfaces for data operation and visualization. Other new features include gene set enrichment analysis and comparison of enrichment results from multiple gene lists. We anticipate that clusterProfiler 4.0 will be applied to a wide range of scenarios across diverse organisms.

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APA 7

Wu, T, Hu, E, Xu, S, Chen, M, Guo, P, Dai, Z, Feng, T, & Zhou, L. (2021). clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. https://doi.org/10.1016/j.xinn.2021.100141

MLA

Wu, Tianzhi, et al. "clusterProfiler 4.0: A universal enrichment tool for interpreting omics data." 2021. https://doi.org/10.1016/j.xinn.2021.100141.

Chicago

Wu, Tianzhi, Erqiang Hu, Shuangbin Xu, Meijun Chen, Pingfan Guo, Zehan Dai, Tingze Feng, and Lang Zhou. 2021. "clusterProfiler 4.0: A universal enrichment tool for interpreting omics data.". https://doi.org/10.1016/j.xinn.2021.100141.

Harvard

Wu, T. et al. 2021, clusterProfiler 4.0: A universal enrichment tool for interpreting omics data, The Innovation, available at: https://doi.org/10.1016/j.xinn.2021.100141 [Accessed 8 Aug. 2026].

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Title
clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
Author / contributors
Tianzhi Wu; Erqiang Hu; Shuangbin Xu; Meijun Chen; Pingfan Guo; Zehan Dai; Tingze Feng; Lang Zhou
Publisher
The Innovation
Publication year
2021
Language
English

Subjects

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Computational biology; Omics; Data science; Computer science; Biology; Bioinformatics
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