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MEDME

Modelling Experimental Data from MeDIP Enrichment


Bioconductor version: Release (3.18)

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 gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MEDME")

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

Documentation

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

browseVignettes("MEDME")
MEDME.pdf PDF R Script
Reference Manual PDF

Details

biocViews CpGIsland, DNAMethylation, Microarray, Software
Version 1.62.0
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
URL
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Suggests BSgenome.Hsapiens.UCSC.hg18, BSgenome.Mmusculus.UCSC.mm9
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package MEDME_1.62.0.tar.gz
Windows Binary MEDME_1.62.0.zip (64-bit only)
macOS Binary (x86_64) MEDME_1.62.0.tgz
macOS Binary (arm64) MEDME_1.62.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MEDME
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MEDME
Bioc Package Browser https://code.bioconductor.org/browse/MEDME/
Package Short Url https://bioconductor.org/packages/MEDME/
Package Downloads Report Download Stats