View source: R/Examine_Region_Methylation.R
| getRegionMeth | R Documentation | 
getRegionMeth() extracts methylation values at specified regions for
all samples and then saves it as a .rds file.
getRegionMeth(
  regions,
  bs,
  type = c("raw", "smooth"),
  save = TRUE,
  file = "Region_Methylation.rds",
  verbose = TRUE
)
| regions | A  | 
| bs | A BSseq object, typically after filtering
with  | 
| type | A  | 
| save | A  | 
| file | A  | 
| verbose | A  | 
Methylation is summarized at the region level, and is estimated as the methylated reads divided by the total reads. Methylation values are obtained from a BSseq object and can be either raw or smoothed methylation.
A numeric matrix, where each row is a region and each column
is a sample.
getPCs() and adjustRegionMeth() to adjust methylation for
the top principal components.
getDendro() and plotDendro() to generate and visualize
dendrograms.
## Not run: 
# Get Methylation Data
meth <- getRegionMeth(regions, bs = bs, file = "Region_Methylation.rds")
# Adjust Methylation Data for Top PCs
mod <- model.matrix(~1, data = pData(bs))
PCs <- getPCs(meth, mod = mod, file = "Top_Principal_Components.rds")
methAdj <- adjustRegionMeth(meth, PCs = PCs,
                            file = "Adjusted_Region_Methylation.rds")
# Assess Sample Similarity
getDendro(methAdj, distance = "euclidean") %>%
        plotDendro(file = "Sample_Dendrogram.pdf", expandY = c(0.25,0.08))
## End(Not run)
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