Learn R Programming

clusterProfiler (version 2.4.1)

compareCluster: Compare gene clusters functional profile

Description

Given a list of gene set, this function will compute profiles of each gene cluster.

Usage

compareCluster(geneClusters, fun = "enrichGO", data = "", ...)

Arguments

geneClusters
a list of entrez gene id. Alternatively, a formula of type Entrez~group
fun
One of "groupGO", "enrichGO", "enrichKEGG", "enrichDO" or "enrichPathway" .
data
if geneClusters is a formula, the data from which the clusters must be extracted.
...
Other arguments.

Value

A clusterProfResult instance.

See Also

compareClusterResult-class, groupGO enrichGO

Examples

Run this code
data(gcSample)
xx <- compareCluster(gcSample, fun="enrichKEGG",
                     organism="human", pvalueCutoff=0.05)
summary(xx)
# plot(xx, type="dot", caption="KEGG Enrichment Comparison")

## formula interface
mydf <- data.frame(Entrez=c('1', '100', '1000', '100101467',
                            '100127206', '100128071'),
                   group = c('A', 'A', 'A', 'B', 'B', 'B'),
                   othergroup = c('good', 'good', 'bad', 'bad', 'good', 'bad'))
xx.formula <- compareCluster(Entrez~group, data=mydf, fun='groupGO')
summary(xx.formula)

## formula interface with more than one grouping variable
xx.formula.twogroups <- compareCluster(Entrez~group+othergroup, data=mydf, fun='groupGO')
summary(xx.formula.twogroups)

Run the code above in your browser using DataLab