mCSEAPlotGSEA {mCSEA} | R Documentation |
Generate an enrichment plot
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")