ReactomePA provides the following analysis and
visualization functions for Reactome pathway enrichment:
enrichPathway(): Over-Representation Analysis (ORA) for
Reactome pathwaysgsePathway(): Gene Set Enrichment Analysis (GSEA) for
Reactome pathwaysnsePathway(): Network-based Set Enrichment Analysis
(NSEA) using the Reactome reaction graph with Random Walk with
Restartbayes_reactome(): Bayesian term selection to compress
redundant pathway outputenrichPathway(weight = ...) and
gsePathway(weight = ...): Weighted ORA/GSEAgson_Reactome(): Build a GSON gene-set
annotation object from ReactomeprepareReactomeNetwork(): Build and cache the Reactome
reaction graph for NSEAdotplot(): Dot plot of enrichment resultscnetplot(): Gene-concept network plotemapplot(): Enrichment mapheatplot(): Gene-pathway heatmapridgeplot(): Ridge plot of GSEA resultsgseaplot(): GSEA running score plotviewPathway(): Topological view of a Reactome
pathwayPlease go to https://yulab-smu.top/biomedical-knowledge-mining-book/ for the full vignette.
If you use ReactomePA [@yu_reactomepa_2016] in published research, please cite:
G Yu, QY He*. ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization. Molecular BioSystems 2016, 12(2):477-479. doi: 10.1039/C5MB00663E
If you have questions/issues, please post to Bioconductor support site and tag your post with ReactomePA.