clusterProfiler-package: clusterProfiler: A universal enrichment tool for interpreting...
In YuLab-SMU/clusterProfiler: A universal enrichment tool for interpreting omics data
clusterProfiler-package R Documentation
clusterProfiler: A universal enrichment tool for interpreting omics data
Description
This package supports functional characteristics of both coding and non-coding genomics data for thousands of species with up-to-date gene annotation. It provides a univeral 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.
Author(s)
Maintainer: Guangchuang Yu guangchuangyu@gmail.com (ORCID) [copyright holder]
Other contributors:
Li-Gen Wang reeganwang020@gmail.com [contributor]
Xiao Luo l77880853349@163.com [contributor]
Meijun Chen mjchen1996@outlook.com [contributor]
Giovanni Dall'Olio giovanni.dallolio@upf.edu [contributor]
Wanqian Wei altair_wei@outlook.com [contributor]
Chun-Hui Gao gaospecial@gmail.com (ORCID) [contributor]
See Also
Useful links:
YuLab-SMU/clusterProfiler documentation built on Dec. 3, 2024, 1:32 p.m.
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| clusterProfiler-package | R Documentation |
clusterProfiler: A universal enrichment tool for interpreting omics data
Description
This package supports functional characteristics of both coding and non-coding genomics data for thousands of species with up-to-date gene annotation. It provides a univeral 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.
Author(s)
Maintainer: Guangchuang Yu guangchuangyu@gmail.com (ORCID) [copyright holder]
Other contributors:
Li-Gen Wang reeganwang020@gmail.com [contributor]
Xiao Luo l77880853349@163.com [contributor]
Meijun Chen mjchen1996@outlook.com [contributor]
Giovanni Dall'Olio giovanni.dallolio@upf.edu [contributor]
Wanqian Wei altair_wei@outlook.com [contributor]
Chun-Hui Gao gaospecial@gmail.com (ORCID) [contributor]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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