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MEDME

This is the development version of MEDME; for the stable release version, see MEDME.

Modelling Experimental Data from MeDIP Enrichment

Bioconductor version: Development (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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 1.61.0
In Bioconductor since BioC 2.3 (R-2.8) (15 years)
License GPL (>= 2)
Depends R (>= 2.15), grDevices, graphics, methods, stats, utils
Imports Biostrings, MASS, drc
Linking To
Suggests BSgenome.Hsapiens.UCSC.hg18, BSgenome.Mmusculus.UCSC.mm9
System Requirements
Enhances
URL
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Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package MEDME_1.61.0.tar.gz
Windows Binary MEDME_1.61.0.zip
macOS Binary (x86_64) MEDME_1.61.0.tgz
macOS Binary (arm64) MEDME_1.61.0.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