Description Usage Arguments Value Author(s) Examples
This function is a wrappper to the function adjust.p from the
cp4p package. It returns the FDR corresponding to the p-values of the
differential analysis.
The FDR is computed with the function p.adjust
{stats}..
1 2 3 4 5 6 7 | diffAnaComputeFDR(
logFC,
pval,
threshold_PVal = 0,
threshold_LogFC = 0,
pi0Method = 1
)
|
logFC |
The result (logFC values) of the differential analysis processed
by |
pval |
The result (p-values) of the differential analysis processed
by |
threshold_PVal |
The threshold on p-pvalue to distinguish between differential and non-differential data |
threshold_LogFC |
The threshold on log(Fold Change) to distinguish between differential and non-differential data |
pi0Method |
The parameter pi0.method of the method adjust.p
in the package |
The computed FDR value (floating number)
Samuel Wieczorek
1 2 3 4 5 6 7 8 | utils::data(Exp1_R25_pept, package='DAPARdata')
obj <- Exp1_R25_pept[1:1000]
keepThat <- mvFilterGetIndices(obj, condition='WholeMatrix', threshold=ncol(obj))
obj <- mvFilterFromIndices(obj, keepThat)
qData <- Biobase::exprs(obj)
sTab <- Biobase::pData(obj)
limma <- limmaCompleteTest(qData,sTab)
diffAnaComputeFDR(limma$logFC[,1],limma$P_Value[,1])
|
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