EstiMu {TRESS} | R Documentation |
This function calculates, for each candidate region, the averaged enrichment of normalized IP read counts versus the sum of normalized IP and input control read counts.
EstiMu(counts, sf)
counts |
A data matrix containing read counts in each region across sample input1, ip1, input2, ip2, input3, ip3, ... |
sf |
A numerical vector containing the size factor of each sample, which is used for sequencing depth normalization. The sample order here is the same as that in counts. |
mu |
A numerical vector containing the methylation level of all candidate regions. |
data("Basal") ## methylatinon level mu = EstiMu( counts = Basal$Candidates$Counts, sf = Basal$Bins$sf ) head(mu, 3)