CSclone: Bayesian Nonparametric Modeling in R

Germline and somatic locus data which contain the total read depth and B allele read depth using Bayesian model (Dirichlet Process) to cluster. Meanwhile, the cluster model can deal with the SNVs mutation and the CNAs mutation.

Author
Peter Wu <peter123wu0@gmail.com>
Date of publication
2016-11-12 00:52:58
Maintainer
Peter Wu <peter123wu0@gmail.com>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

adjust.mpear
Adjust MPEAR
CSclone
Clustering model which contains the CNAs mutation and SNVs...
Hamming
Hamming distance
l.s
Linear relation for SNVs
simu.data
Simulate data
tf_similar
True or false of similar

Files in this package

CSclone
CSclone/NAMESPACE
CSclone/R
CSclone/R/l.s.R
CSclone/R/simu.data.R
CSclone/R/Hamming.R
CSclone/R/CSclone.R
CSclone/R/tf_similar.R
CSclone/R/adjust.mpear.R
CSclone/MD5
CSclone/DESCRIPTION
CSclone/man
CSclone/man/l.s.Rd
CSclone/man/Hamming.Rd
CSclone/man/CSclone.Rd
CSclone/man/simu.data.Rd
CSclone/man/adjust.mpear.Rd
CSclone/man/tf_similar.Rd