isglobal-brge/EpiMutations: Robust outlier identification for DNA methylation data
The package includes some statistical outlier detection methods for epimutations detection in DNA methylation data. The methods included in the package are MANOVA, Multivariate linear models, isolation forest, robust mahalanobis distance, quantile and beta. The methods compare a case sample with a suspected disease against a reference panel (composed of healthy individuals) to identify epimutations in the given case sample. It also contains functions to annotate and visualize the identified epimutations.
Getting started
Browse package contents
Package details |
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| Bioconductor views | BiologicalQuestion DNAMethylation Normalization Preprocessing StatisticalMethod |
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 1.5.0 |
| URL | https://github.com/isglobal-brge/epimutacions |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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