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.

Package details

AuthorMaarten van Iterson [aut, cre], Erik van Zwet [ctb]
Bioconductor views BatchEffect Bayesian GenomeWideAssociation ImmunoOncology MethylationArray MultipleComparison RNASeq Regression StatisticalMethod Transcriptomics
MaintainerMaarten van Iterson <mviterson@gmail.com>
LicenseGPL (>= 2)
Version1.18.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("bacon")

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bacon documentation built on Nov. 8, 2020, 4:54 p.m.