findPathClusters: Find pathway clusters

In aPEAR: Advanced Pathway Enrichment Analysis Representation

Find pathway clusters

Description

Calculates the clusters within the enrichment data based on pathway similarity.

Usage

findPathClusters(enrichment, methods = aPEAR.methods, verbose = FALSE, ...)

Arguments

enrichment	a data.frame containing enrichment results
methods	methods for calculating the pathway clusters within the enrichment result (object of class aPEAR.methods; default: aPEAR.methods)
verbose	enable / disable log messages (default: FALSE)
...	additional parameters (see ?aPEAR.methods)

Value

a list of two objects: sim - pathway similarity matrix; and clusters - pathway clusters

a list of clusters and similarity matrix

Examples

# Load libraries
library(clusterProfiler)
library(DOSE)
library(org.Hs.eg.db)
data(geneList)

# Perform enrichment using clusterProfiler
enrich <- gseGO(geneList, OrgDb = org.Hs.eg.db, ont = 'CC')

# Obtain clusters within the enriched pathways using default parameters
data <- findPathClusters(enrich@result)
data$clusters

# Obtain clusters within the enriched pathways using hierarchical clustering
# and minClusterSize = 1
data <- findPathClusters(enrich@result, cluster = 'hier', minClusterSize = 1)
data$clusters

aPEAR documentation built on July 9, 2023, 6:16 p.m.