Preprocess arrays for compartment inference
Examples
if (requireNamespace("minfiData", quietly = TRUE)) {
grSet <- minfi::preprocessNoob(minfiData::RGsetEx.sub) |>
minfi::ratioConvert() |>
minfi::mapToGenome()
preprocessArrays(grSet)
}
#> Loading required package: IlluminaHumanMethylation450kmanifest
#> Loading required package: minfi
#> Loading required package: Biostrings
#> Loading required package: XVector
#>
#> Attaching package: ‘Biostrings’
#> The following object is masked from ‘package:base’:
#>
#> strsplit
#> Loading required package: bumphunter
#> Loading required package: foreach
#> Loading required package: iterators
#> Loading required package: parallel
#> Loading required package: locfit
#> locfit 1.5-9.12 2025-03-05
#> Loading required package: IlluminaHumanMethylation450kanno.ilmn12.hg19
#> Filtering to open sea CpG loci...
#> Converting to squeezed M-values.
#> class: GenomicRatioSet
#> dim: 47 6
#> metadata(0):
#> assays(3): Beta M CN
#> rownames(47): cg01003813 cg01051089 ... cg01757887 cg03930849
#> rowData names(0):
#> colnames(6): 5723646052_R02C02 5723646052_R04C01 ... 5723646053_R05C02
#> 5723646053_R06C02
#> colData names(13): Sample_Name Sample_Well ... Basename filenames
#> Annotation
#> array: IlluminaHumanMethylation450k
#> annotation: ilmn12.hg19
#> Preprocessing
#> Method: NA
#> minfi version: NA
#> Manifest version: NA