ranks <- getPCRanks(eigen, IDs = c("trt", "ctl"), PC = 1)
DMRs <- Get_Novel_DMRs(ranks, 2940, minCpGs=10)
# Select all significantly hypomethylated DMRs:
hypo_DMRs <- DMRs[DMRs$FDR <= 0.05 & DMRs$DMR_Zscore < 0,]
# Select all significantly hypermethylated DMRs:
hyper_DMRs <- DMRs[DMRs$FDR <= 0.05 & DMRs$DMR_Zscore > 0,]
# select chrom, start, and end of all hyper DMRs
regions_hypo <- hypo_DMRs[c(1:3)]
regions_hyper <- hyper_DMRs[c(1:3)]
# return.data = T returns raw data instead of a plot:
hyper_metagene <- score_metagene(ranks, regions_hyper, return.data = TRUE)
hypo_metagene <- score_metagene(ranks, regions_hypo, return.data = TRUE)
# The multiple_metagenes function plots multiple metagenes
# using a list of raw data objects from score_metagene().
multiple_metagenes(data_list = list(hyper_metagene, hypo_metagene),
set_names = c("Hyper DMRs", "Hypo DMRs"),
title="Metagenes of DMR Regions", legend.title = FALSE)
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