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Modelling Experimental Data from MeDIP Enrichment

Bioconductor version: Release (3.19)

MEDME allows the prediction of absolute and relative methylation levels based on measures obtained by MeDIP-microarray experiments

Author: Mattia Pelizzola and Annette Molinaro

Maintainer: Mattia Pelizzola <mattia.pelizzola at>

Citation (from within R, enter citation("MEDME")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

MEDME.pdf PDF R Script
Reference Manual PDF


biocViews CpGIsland, DNAMethylation, Microarray, Software
Version 1.64.0
In Bioconductor since BioC 2.3 (R-2.8) (15.5 years)
License GPL (>= 2)
Depends R (>= 2.15), grDevices, graphics, methods, stats, utils
Imports Biostrings, MASS, drc
System Requirements
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Suggests BSgenome.Hsapiens.UCSC.hg18, BSgenome.Mmusculus.UCSC.mm9
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Follow Installation instructions to use this package in your R session.

Source Package MEDME_1.64.0.tar.gz
Windows Binary
macOS Binary (x86_64) MEDME_1.64.0.tgz
macOS Binary (arm64) MEDME_1.64.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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