library(ENmix)
library(minfiData)
library(digest)
digestMatrix <- function(mat) {
content <- sprintf("%.6f", mat)
content[content == "-0.000000"] <- "0.000000"
digest(c(content, rownames(mat), colnames(mat)))
}
#read in raw intensity data
sheet <- read.metharray.sheet(file.path(find.package("minfiData"),
"extdata"), pattern = "csv$")
rgSet <- read.metharray.exp(targets = sheet,extended = TRUE)
qc<-QCinfo(rgSet)
mdat <- preprocessRaw(rgSet)
mdat.bg=preprocessENmix(rgSet,bgParaEst="oob",nCores=6)
mdat.filter=QCfilter(mdat,qcinfo=qc, samplethre = 0.05, CpGthre = 0.05)
mdat.quantile=normalize.quantile.450k(mdat,method="quantile1")
testDigests <- list(
qc = list(detP = digestMatrix(qc$detP),
nbead=digestMatrix(qc$nbead)),
enmix = list(Meth = digestMatrix(getMeth(mdat.bg)),
Unmeth = digestMatrix(getUnmeth(mdat.bg))),
filter = list(Meth = digestMatrix(getMeth(mdat.filter)),
Unmeth = digestMatrix(getUnmeth(mdat.filter))),
quantile = list(Meth = digestMatrix(getMeth(mdat.quantile)),
Unmeth = digestMatrix(getUnmeth(mdat.quantile)))
)
save(testDigests, file = "../unitTests/testDigests.rda")
gc()
sessionInfo()
rm(list = ls())
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