EstiMu {TRESS}R Documentation

Estimation of m6A methylation.

Description

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.

Usage

EstiMu(counts, sf)

Arguments

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.

Value

mu

A numerical vector containing the methylation level of all candidate regions.

Examples

data("Basal")
## methylatinon level
mu = EstiMu(
    counts = Basal$Candidates$Counts,
    sf = Basal$Bins$sf
    )
head(mu, 3)

[Package TRESS version 1.0.0 Index]