bacon
Controlling bias and inflation in association studies using the empirical null distribution
Bioconductor version: 3.24 · Package version: 1.41.0
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
| Maintainer | Maarten van Iterson <mviterson@gmail.com> |
| Author | Maarten van Iterson [aut, cre], Erik van Zwet [ctb] |
| License | GPL (>= 2) |
| Downloads rank | 619 |
| Source branch | devel |
| biocViews | BatchEffect, Bayesian, GenomeWideAssociation, ImmunoOncology, MethylationArray, MultipleComparison, RNASeq, Regression, Software, StatisticalMethod, Transcriptomics |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | bacon_1.41.0.tar.gz |
| Windows binary (x86_64) | bacon_1.41.0.zip |
| macOS binary (arm64) | bacon_1.41.0.tgz |
| macOS binary (x86_64) | bacon_1.41.0.tgz |