MethyBayes: This is a function to produce methylation identification...

In wangyuchen/MethyBayes: Full Bayesian Partition Model for Identifying Differentially Methylated Loci

Description

This function returns the methylation identification result for all sites commonly mapped by all replicates under two experimental conditions.

Usage

MethyBayes(data, n1, n2)

Arguments

data	A list of read counts, methylated read counts and sites commonly mapped by all replicates.
n1	Number of replicates in treatment experiment.
n2	Number of replicates in control experiment.

Value

Methylation identification result matrix, first column is the list of sites, second column is the list of identification result.

References

Wang, H., He, C., Kushwaha, G., Xu, D., \& Qiu, J. (2016). A full Bayesian partition model for identifying hypo-and hyper-methylated loci from single nucleotide resolution sequencing data. BMC bioinformatics, 17(1), 71.

Examples

## Not run: 
 data("case1", "case2", "control1", "control2")
 read_counts <- seqdata(list(case1, case2), list(control1, control2))
 ident <- MethyBayes(read_counts, 2, 2)

## End(Not run)

wangyuchen/MethyBayes documentation built on May 4, 2019, 12:58 a.m.