Description Usage Arguments Examples
View source: R/Nonparametric_Bayesian_clustering.R
Grouping the sequencing reads into hyper- and hypo-methylated subsets, and identify the segments with significant methylation difference bwtween two subsets as pCSM loci.
1 | Nonparametric_Bayesian_clustering(segment, delta = 0.5, tau = 0.5, nperm = 1000, thread = 1)
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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 |
1 | #Nonparametric_Bayesian_clustering(segment, delta = 0.5, tau = 0.5, nperm = 1000, thread = 1)
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