Package: missMethyl
Type: Package
Title: Analysing Illumina HumanMethylation BeadChip Data
Version: 1.16.0
Date: 2018-10-15
Author: Belinda Phipson and Jovana Maksimovic 
Maintainer: Belinda Phipson <belinda.phipson@mcri.edu.au>, Jovana
 Maksimovic <jovana.maksimovic@mcri.edu.au>,
 Andrew Lonsdale <andrew.lonsdale@mcri.edu.au>
Depends: R (>= 2.3.0)
Imports: limma, minfi, methylumi, IlluminaHumanMethylation450kmanifest,
        statmod, ruv, stringr,
        IlluminaHumanMethylation450kanno.ilmn12.hg19, org.Hs.eg.db,
        AnnotationDbi, BiasedUrn, GO.db,
        IlluminaHumanMethylationEPICmanifest,
        IlluminaHumanMethylationEPICanno.ilm10b4.hg19
VignetteBuilder: knitr
Suggests: minfiData, BiocStyle, knitr, rmarkdown, edgeR,
        tweeDEseqCountData
Description: Normalisation and testing for differential variability and
	differential methylation 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. Differential
	methylation testing is performed using RUV, which can adjust for
	systematic errors of unknown origin in high-dimensional data by
 	using negative control probes. Gene ontology analysis is performed
 	by taking into account the number of probes per gene on the
 	array.
License: GPL-2
biocViews: Normalization, DNAMethylation, MethylationArray,
        GenomicVariation, GeneticVariability, DifferentialMethylation,
        GeneSetEnrichment
git_url: https://git.bioconductor.org/packages/missMethyl
git_branch: RELEASE_3_8
git_last_commit: de46e07
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: no
Packaged: 2018-10-31 00:49:19 UTC; biocbuild
Built: R 3.5.1; ; 2018-10-31 09:13:19 UTC; unix
