This is the released version of epimutacions; for the devel version, see epimutacions.
Robust outlier identification for DNA methylation dataBioconductor version: Release (3.21)
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.
Author: Dolors Pelegri-Siso [aut, cre] ORCID: 0000-0002-5993-3003 , Juan R. Gonzalez [aut] ORCID: 0000-0003-3267-2146 , Carlos Ruiz-Arenas [aut] ORCID: 0000-0002-6014-3498 , Carles Hernandez-Ferrer [aut] ORCID: 0000-0002-8029-7160 , Leire Abarrategui [aut] ORCID: 0000-0002-1175-038X
Maintainer: Dolors Pelegri-Siso <dolors.pelegri at isglobal.org>
Citation (from within R, entercitation("epimutacions")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("epimutacions")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("epimutacions")Follow Installation instructions to use this package in your R session.
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