MEDME
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see MEDME.
Modelling Experimental Data from MeDIP Enrichment
Bioconductor version: 3.19
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 (version "4.4") 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")
MEDME.pdf | R Script | |
Reference Manual |
Details
biocViews | CpGIsland, DNAMethylation, Microarray, Software |
Version | 1.64.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (16 years) |
License | GPL (>= 2) |
Depends | R (>= 2.15), grDevices, graphics, methods, stats, utils |
Imports | Biostrings, MASS, drc |
System Requirements | |
URL |
See More
Suggests | BSgenome.Hsapiens.UCSC.hg18, BSgenome.Mmusculus.UCSC.mm9 |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | MEDME_1.64.0.tar.gz |
Windows Binary (x86_64) | MEDME_1.64.0.zip (64-bit only) |
macOS Binary (x86_64) | MEDME_1.64.0.tgz |
macOS Binary (arm64) | MEDME_1.64.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MEDME |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MEDME |
Bioc Package Browser | https://code.bioconductor.org/browse/MEDME/ |
Package Short Url | https://bioconductor.org/packages/MEDME/ |
Package Downloads Report | Download Stats |