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bacon

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

Bioconductor version: 3.23 · Package version: 1.40.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("bacon")

Details

MaintainerMaarten van Iterson <mviterson@gmail.com>
AuthorMaarten van Iterson [aut, cre], Erik van Zwet [ctb]
LicenseGPL (>= 2)
Downloads rank458
Source branchRELEASE_3_23
biocViewsBatchEffect, Bayesian, GenomeWideAssociation, ImmunoOncology, MethylationArray, MultipleComparison, RNASeq, Regression, Software, StatisticalMethod, Transcriptomics

Documentation

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Dependencies

Depends: R (>= 3.3), methods, stats, ggplot2, graphics, BiocParallel, ellipse

Suggests: BiocStyle, knitr, rmarkdown, testthat, roxygen2