- clusterProfiler supports exploring functional characteristics of both coding and non-coding genomics data for thousands of species with up-to-date gene annotation.
- It provides a universal interface for gene functional annotation from a variety of sources and thus can be applied in diverse scenarios.
- It provides a tidy interface to access, manipulate, and visualize enrichment results to help users achieve efficient data interpretation
- Datasets obtained from multiple treatments and time points can be analyzed and compared in a single run, easily revealing functional consensus and differences among distinct conditions
- It uses
enrichitas the underlying engine for ORA, GSEA, and topology-aware enrichment analysis, while providing a high-level and user-friendly interface for biological interpretation
For details, please visit:
- https://yulab-smu.top/contribution-knowledge-mining/
- https://yulab-smu.top/biomedical-knowledge-mining-book/
Get the released version from Bioconductor:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("clusterProfiler")
Or install the development version from GitHub:
if (!requireNamespace("remotes", quietly = TRUE))
install.packages("remotes")
remotes::install_github("YuLab-SMU/clusterProfiler")
Guangchuang YU https://yulab-smu.top
School of Basic Medical Sciences, Southern Medical University
We welcome any contributions! By participating in this project you agree to abide by the terms outlined in the Contributor Code of Conduct.
