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

Bioconductor version: Release (3.19)

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.

Author: Maarten van Iterson [aut, cre], Erik van Zwet [ctb]

Maintainer: Maarten van Iterson <mviterson at>

Citation (from within R, enter citation("bacon")):


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if (!require("BiocManager", quietly = TRUE))


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Controlling bias and inflation in association studies using the empirical null distribution HTML R Script
Reference Manual PDF


biocViews BatchEffect, Bayesian, GenomeWideAssociation, ImmunoOncology, MethylationArray, MultipleComparison, RNASeq, Regression, Software, StatisticalMethod, Transcriptomics
Version 1.32.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL (>= 2)
Depends R (>= 3.3), methods, stats, ggplot2, graphics, BiocParallel, ellipse
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Suggests BiocStyle, knitr, rmarkdown, testthat, roxygen2
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Source Package bacon_1.32.0.tar.gz
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