MEDME
Modelling Experimental Data from MeDIP Enrichment
Bioconductor version: Release (3.20)
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 | 1.66.0 |
| 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_1.66.0.tar.gz |
| Windows Binary (x86_64) | MEDME_1.66.0.zip |
| macOS Binary (x86_64) | MEDME_1.66.0.tgz |
| macOS Binary (arm64) | MEDME_1.65.0.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 |