To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("MEDME")

In most cases, you don't need to download the package archive at all.

MEDME

 

Modelling Experimental Data from MeDIP Enrichment

Bioconductor version: Release (3.1)

Description: 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 and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("MEDME")

Documentation

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

browseVignettes("MEDME")

 

PDF R Script MEDME.pdf
PDF   Reference Manual

Details

biocViews CpGIsland, DNAMethylation, Microarray, Software
Version 1.28.0
In Bioconductor since BioC 2.3 (R-2.8) (7 years)
License GPL (>= 2)
Depends R (>= 2.15), grDevices, graphics, methods, stats, utils
Imports Biostrings, MASS, drc
LinkingTo
Suggests BSgenome.Hsapiens.UCSC.hg18, BSgenome.Mmusculus.UCSC.mm9
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source MEDME_1.28.0.tar.gz
Windows Binary MEDME_1.28.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) MEDME_1.28.0.tgz
Mac OS X 10.9 (Mavericks) MEDME_1.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/MEDME/tree/release-3.1
Package Short Url http://bioconductor.org/packages/MEDME/
Package Downloads Report Download Stats

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