MEDME

DOI: 10.18129/B9.bioc.MEDME    

Modelling Experimental Data from MeDIP Enrichment

Bioconductor version: Release (3.15)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

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")

 

PDF	R Script	MEDME.pdf
PDF		Reference Manual

Details

biocViews	CpGIsland, DNAMethylation, Microarray, Software
Version	1.56.0
In Bioconductor since	BioC 2.3 (R-2.8) (14 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
Links To Me
Build Report

Package Archives

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

Source Package	MEDME_1.56.0.tar.gz
Windows Binary	MEDME_1.56.0.zip
macOS Binary (x86_64)	MEDME_1.56.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MEDME
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MEDME
Package Short Url	https://bioconductor.org/packages/MEDME/
Package Downloads Report	Download Stats