Package: ENmix
Version: 1.0.0
Date: 2015-04-15
Title: Data preprocessing and quality control for Illumina
        HumanMethylation450 BeadChip
Type: Package
Authors@R: c(person("Zongli","Xu",role=c("cre","aut"),email="xuz@niehs.nih.gov"),
	person("Liang","Niu",role=c("aut"),email="niulg@ucmail.uc.edu"),
	person("Leping","Li",role=c("ctb"),email="li3@niehs.nih.gov"),
	person("Jack","Taylor",role=c("ctb"),email="taylor@niehs.nih.gov"))
Description: 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. 
Depends: minfi,parallel,doParallel,Biobase (>= 2.17.8),foreach
Imports: MASS,preprocessCore,wateRmelon,sva,geneplotter
Suggests: minfiData (>= 0.4.1), RPMM, RUnit, BiocGenerics
biocViews: DNAMethylation, Preprocessing, QualityControl, TwoChannel,
        Microarray, OneChannel, MethylationArray, BatchEffect,
        Normalization, DataImport
License: Artistic-2.0
NeedsCompilation: no
Packaged: 2015-04-17 05:58:57 UTC; biocbuild
Author: Zongli Xu [cre, aut],
  Liang Niu [aut],
  Leping Li [ctb],
  Jack Taylor [ctb]
Maintainer: Zongli Xu <xuz@niehs.nih.gov>
Built: R 3.2.0; ; 2015-04-17 08:30:09 UTC; windows
