View source: R/PlotPostVsRawFC.R
PlotPostVsRawFC | R Documentation |
'PlotPostVsRawFC' helps the users visualize the posterior FC vs FC in a two condition study.
PlotPostVsRawFC(EBOut, FCOut)
EBOut |
The output of EBMultiTest function. |
FCOut |
The output of PostFC function. |
A figure shows fold change vs posterior fold change.
Ning Leng
Ning Leng, John A. Dawson, James A. Thomson, Victor Ruotti, Anna I. Rissman, Bart M.G. Smits, Jill D. Haag, Michael N. Gould, Ron M. Stewart, and Christina Kendziorski. EBSeq: An empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics (2013)
PostFC
data(GeneMat)
GeneMat.small = GeneMat[c(500:600),]
Sizes = MedianNorm(GeneMat.small)
EBOut = EBTest(Data = GeneMat.small,
Conditions = as.factor(rep(c("C1","C2"), each=5)),
sizeFactors = Sizes, maxround = 5)
FC = PostFC(EBOut)
PlotPostVsRawFC(EBOut,FC)
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