plot_gsva_pca,ReactomeAnalysisResult-method {ReactomeGSA} | R Documentation |
Runs a Principal Component analysis (using prcomp
) on the samples
based on the pathway analysis results.
## S4 method for signature 'ReactomeAnalysisResult' plot_gsva_pca(object, pathway_ids = NULL, ...)
object |
A |
pathway_ids |
A character vector of pathway ids. If set, only these pathways will be used for the PCA analysis. |
... |
Additional parameters are passed to |
A ggplot2 object representing the plot.
# load the scRNA-seq example data library(ReactomeGSA.data) data(jerby_b_cells) # perform the GSVA analysis gsva_result <- analyse_sc_clusters(jerby_b_cells, verbose = FALSE)