View source: R/meta-analysis.R
runDEMetaAnalysis | R Documentation |
This function performs mata analysis on multiple DE analysis results.
runDEMetaAnalysis(
DEResults,
method = c("stouffer", "fisher", "addCLT", "geoMean", "minP", "REML")
)
DEResults |
A list of dataframes containing DE analysis results. Each dataframe must have ID, p.value, logFC and logFCSE columns. |
method |
The method to combine p-values. It can be one of "fisher", "stouffer", "geoMean", "addCLT", "minP", or "REML". |
A dataframe containing combined DE analysis results. The dataframe has ID, p.value, pDFR, logFC, and logFCSE columns.
library(RCPA)
library(SummarizedExperiment)
affyDEExperiment <- loadData("affyDEExperiment")
agilDEExperiment <- loadData("agilDEExperiment")
RNASeqDEExperiment <- loadData("RNASeqDEExperiment")
metaDEResult <- RCPA::runDEMetaAnalysis(list(
rowData(affyDEExperiment)[1:1000,],
rowData(agilDEExperiment)[1:1000,],
rowData(RNASeqDEExperiment)[1:1000,]
), method = "stouffer")
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