bacon: Controlling bias and inflation in association studies using the empirical null distribution
Version 1.4.0

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 MethylationArray MultipleComparison RNASeq Regression StatisticalMethod Transcriptomics
MaintainerMaarten van Iterson <mviterson@gmail.com>
LicenseGPL (>= 2)
Version1.4.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("bacon")

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bacon documentation built on May 31, 2017, 3:18 p.m.