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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("missMethyl")
In most cases, you don't need to download the package archive at all.
missMethyl
|
This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see missMethyl.
Analysis of methylation array data
Bioconductor version: 3.0
Normalisation and testing for differential variability for data from Illumina's Infinium HumanMethylation450 array. The normalisation procedure is subset-quantile within-array normalisation (SWAN), which allows Infinium I and II type probes on a single array to be normalised together. The test for differential variability is based on an empirical Bayes version of Levene's test.
Author: Belinda Phipson and Jovana Maksimovic
Maintainer: Belinda Phipson <belinda.phipson at mcri.edu.au>, Jovana Maksimovic <jovana.maksimovic at mcri.edu.au>
Citation (from within R,
enter citation("missMethyl")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("missMethyl")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("missMethyl")
| R Script | missMethyl: analysing data from Illumina's HumanMethylation450 array | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | DNAMethylation, DifferentialMethylation, GeneticVariability, GenomicVariation, MethylationArray, Normalization, Software |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (1.5 years) |
| License | GPL-2 |
| Depends | R (>= 2.3.0) |
| Imports | limma, minfi, methylumi, IlluminaHumanMethylation450kmanifest, statmod |
| LinkingTo | |
| Suggests | minfiData, BiocStyle, edgeR, tweeDEseqCountData |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | missMethyl_1.0.0.tar.gz |
| Windows Binary | missMethyl_1.0.0.zip |
| Mac OS X 10.6 (Snow Leopard) | missMethyl_1.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | missMethyl_1.0.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/missMethyl/tree/release-3.0 |
| Package Short Url | http://bioconductor.org/packages/missMethyl/ |
| Package Downloads Report | Download Stats |
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