mvaniterson/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.
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Package details |
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| Author | Maarten van Iterson [aut, cre], Erik van Zwet [ctb] |
| Bioconductor views | BatchEffect Bayesian GenomeWideAssociation ImmunoOncology MethylationArray MultipleComparison RNASeq Regression StatisticalMethod Transcriptomics |
| Maintainer | Maarten van Iterson <mviterson@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.31.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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