Nonparametric_Bayesian_clustering: nonparametric_Bayesian_clustering to group sequencing reads

Description Usage Arguments Examples

View source: R/Nonparametric_Bayesian_clustering.R

Description

Grouping the sequencing reads into hyper- and hypo-methylated subsets, and identify the segments with significant methylation difference bwtween two subsets as pCSM loci.

Usage

1
Nonparametric_Bayesian_clustering(segment, delta = 0.5, tau = 0.5, nperm = 1000, thread = 1)

Arguments

segment

the candidate segments used for CSM identification

delta

scalar, threshold for choosing seed clusters, 0 < delta < 0.5

tau

scalar, separation parameter

nperm

number of random permutation to inference the pCSM segments

thread

number of threads used to identify pCSM segments

Examples

1
#Nonparametric_Bayesian_clustering(segment, delta = 0.5, tau = 0.5, nperm = 1000, thread = 1)

Gavin-Yinld/csmFinder documentation built on Sept. 16, 2019, 3:31 p.m.