mCSEAPlotGSEA {mCSEA} | R Documentation

## Plot mCSEA results

### Description

Generate an enrichment plot

### Usage

    mCSEAPlotGSEA(rank, mCSEAResults, regionType, dmrName)

### Arguments

`rank` | A named numeric vector with the ranking statistic of each CpG site
`mCSEAResults` | The object generated by mCSEATest function
`regionType` | The region type to be represented. Must be one of "promoters", "genes", "CGI" or "custom"
`dmrName` | The DMR of interest to be represented (e.g. gene name, CGI name...)

### Value

'NULL'

### Author(s)

Jordi Martorell Marugán, jordi.martorell@genyo.es

### References

Subramanian, A. et al (2005). Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles . PNAS 102, 15545-15550.

### See Also

`rankProbes`, `mCSEATest`, `mCSEAPlot`

### Examples

    ## Not run:
    library(mCSEAdata)
    data(mcseadata)
    myRank <- rankProbes(betaTest, phenoTest, refGroup = "Control")
    set.seed(123)
    myResults <- mCSEATest(myRank, regionsTypes = "promoters",
    platform = "EPIC")

    ## End(Not run)
    data(precomputedmCSEA)
    mCSEAPlotGSEA(myRank, myResults, "promoters", "CLIC6")

[Package mCSEA version 1.6.0 Index]