mCSEAPlotGSEA: Plot mCSEA results
In jordimartorell/mCSEA: Methylated CpGs Set Enrichment Analysis

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/mCSEAPlotGSEA.R

Generate an enrichment plot

1	mCSEAPlotGSEA(rank, mCSEAResults, regionType, dmrName)

`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...)

'NULL'

Jordi Martorell Marugán, jordi.martorell@genyo.es

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

rankProbes, mCSEATest, mCSEAPlot

## 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")