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 (2.14)

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 1.24.0
In Bioconductor since BioC 2.3 (R-2.8)
License GPL (>= 2)
Depends R (>= 2.15), grDevices, graphics, methods, stats, utils
Imports Biostrings, MASS, drc
Suggests BSgenome.Hsapiens.UCSC.hg18, BSgenome.Mmusculus.UCSC.mm9
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source MEDME_1.24.0.tar.gz
Windows Binary MEDME_1.24.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) MEDME_1.24.0.tgz
Mac OS X 10.9 (Mavericks) MEDME_1.24.0.tgz
Browse/checkout source (username/password: readonly)
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