clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
Tianzhi Wu(Southern Medical University), Erqiang Hu(Southern Medical University), Shuangbin Xu(Southern Medical University), Meijun Chen(Southern Medical University), Pingfan Guo(Southern Medical University), Zehan Dai(Southern Medical University), Tingze Feng(Southern Medical University), Lang Zhou(Southern Medical University), Wenli Tang(Southern Medical University), Li Zhan(Southern Medical University), Xiaocong Fu(Southern Medical University), Shanshan Liu(Southern Medical University), Xiaochen Bo(Beijing Radiation Center), Guangchuang Yu(Southern Medical University)
Cited by 12,596Open Access
Abstract
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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