View source: R/perGeneQValue.R
perGeneQValue | R Documentation |
The use case for this function is the following analysis: given per-exon p-values for null hypothesis H0, we can determine the number of genes in which at least for one exon H0 is rejected. What is the associated false disovery rate?
perGeneQValue(object, p = "pvalue", method = perGeneQValueExact)
object |
An |
p |
A character string indicating the name of the columns in
|
method |
Use the default value. This is for debugging only. |
Details
A named numeric vector, values are per-gene q-values, names are gene.
data(pasillaDEXSeqDataSet, package="pasilla")
dxd <- estimateSizeFactors( dxd )
dxd <- estimateDispersions( dxd )
dxd <- testForDEU( dxd )
dxr <- DEXSeqResults( dxd )
perGeneQValue(dxr)
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