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 3.4 of Bioconductor; for the stable, up-to-date release version, see MEDME.

Modelling Experimental Data from MeDIP Enrichment

Bioconductor version: 3.4

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")):

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	R Script	MEDME.pdf
PDF		Reference Manual

biocViews	CpGIsland, DNAMethylation, Microarray, Software
Version	1.34.0
In Bioconductor since	BioC 2.3 (R-2.8) (8.5 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

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

Package Source	MEDME_1.34.0.tar.gz
Windows Binary	MEDME_1.34.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	MEDME_1.34.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/MEDME/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/MEDME/
Package Downloads Report	Download Stats

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