To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("ENmix")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
Illumina HumanMethylation450 BeadChip has a complex array design, and the measurement is subject to experimental variations. The ENmix R package provides tools for low level data preprocessing to improve data quality. It incorporates a model based background correction method ENmix, and provides functions for inter-array quantile normalization, data quality checking, exploration of multimodally distributed CpGs and source of data variation. To support large scale data analysis, the package also provides multi-processor parallel computing wrappers for some commonly used data preprocessing methods, such as BMIQ probe design type bias correction and ComBat batch effect correction.
Author: Zongli Xu [cre, aut], Liang Niu [aut], Leping Li [ctb], Jack Taylor [ctb]
Maintainer: Zongli Xu <xuz at niehs.nih.gov>
Citation (from within R,
enter citation("ENmix")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("ENmix")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ENmix")
R Script | ENmix User's Guide | |
Reference Manual | ||
Text | NEWS |
biocViews | BatchEffect, DNAMethylation, DataImport, MethylationArray, Microarray, Normalization, OneChannel, Preprocessing, QualityControl, Software, TwoChannel |
Version | 1.0.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (< 6 months) |
License | Artistic-2.0 |
Depends | minfi, parallel, doParallel, Biobase(>= 2.17.8), foreach |
Imports | MASS, preprocessCore, wateRmelon, sva, geneplotter |
LinkingTo | |
Suggests | minfiData(>= 0.4.1), RPMM, RUnit, BiocGenerics |
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 | ENmix_1.0.0.tar.gz |
Windows Binary | ENmix_1.0.0.zip |
Mac OS X 10.6 (Snow Leopard) | ENmix_1.0.0.tgz |
Mac OS X 10.9 (Mavericks) | ENmix_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ENmix/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/ENmix/ |
Package Downloads Report | Download Stats |
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