mCSEAPlotGSEA: Plot mCSEA results

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

View source: R/mCSEAPlotGSEA.R

Description

Generate an enrichment plot

Usage

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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 Marug<c3><a1>n, 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

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## 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")

mCSEA documentation built on Nov. 8, 2020, 5:37 p.m.