bacon: Controlling bias and inflation in association studies using the empirical null distribution

Bacon can be used to remove inflation and bias often observed in epigenome- and transcriptome-wide association studies. To this end bacon constructs an empirical null distribution using a Gibbs Sampling algorithm by fitting a three-component normal mixture on z-scores.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("bacon")
AuthorMaarten van Iterson [aut, cre], Erik van Zwet [ctb]
Bioconductor views BatchEffect Bayesian GenomeWideAssociation MethylationArray MultipleComparison RNASeq Regression StatisticalMethod Transcriptomics
Date of publicationNone
MaintainerMaarten van Iterson <mviterson@gmail.com>
LicenseGPL (>= 2)
Version1.4.0

View on Bioconductor

Functions

bacon Man page
Bacon-class Man page
bias Man page
bias Man page
bias,Bacon-method Man page
dnormmix Man page
es Man page
es Man page
es,Bacon-method Man page
estimates Man page
estimates Man page
estimates,Bacon-method Man page
fit Man page
fit Man page
fit,Bacon-method Man page
inflation Man page
inflation Man page
inflation,Bacon-method Man page
meta Man page
meta Man page
meta,Bacon-method Man page
plot,Bacon-method Man page
plotnormmix Man page
posteriors Man page
posteriors Man page
posteriors,Bacon-method Man page
pval Man page
pval Man page
pval,Bacon-method Man page
rnormmix Man page
se Man page
se Man page
se,Bacon-method Man page
topTable Man page
topTable Man page
topTable,Bacon-method Man page
traces Man page
traces Man page
traces,Bacon-method Man page
tstat Man page
tstat Man page
tstat,Bacon-method Man page

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