To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MEDME")

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

MEDME

This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see MEDME.

Modelling Experimental Data from MeDIP Enrichment

Bioconductor version: 2.8

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")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MEDME")

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

browseVignettes("MEDME")

PDF		MEDME.pdf
PDF		Reference Manual

biocViews	CpGIsland, Microarray, Software
Version	1.12.0
In Bioconductor since	BioC 2.3 (R-2.8) (7.5 years)
License	GPL (>= 2)
Depends	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

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

Package Source	MEDME_1.12.0.tar.gz
Windows Binary	MEDME_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/MEDME/tree/release-2.8
Package Short Url	http://bioconductor.org/packages/MEDME/
Package Downloads Report	Download Stats

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