Bioconductor-mirror/bacon: Controlling bias and inflation in association studies using the empirical null distribution
Version 1.5.0

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.

Getting started

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 <[email protected]>
LicenseGPL (>= 2)
Version1.5.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/bacon")
Bioconductor-mirror/bacon documentation built on June 1, 2017, 4:23 a.m.