CSclone: Bayesian Nonparametric Modeling in R
Version 1.0

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.

AuthorPeter Wu <peter123wu0@gmail.com>
Date of publication2016-11-12 00:52:58
MaintainerPeter Wu <peter123wu0@gmail.com>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("CSclone")

Popular 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
See all...

All man pages Function index File listing

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

Functions

CSclone Man page Source code
Hamming Man page Source code
adjust.mpear Man page Source code
l.s Man page Source code
simu.data Man page Source code
tf_similar Man page Source code

Files

NAMESPACE
R
R/l.s.R
R/simu.data.R
R/Hamming.R
R/CSclone.R
R/tf_similar.R
R/adjust.mpear.R
MD5
DESCRIPTION
man
man/l.s.Rd
man/Hamming.Rd
man/CSclone.Rd
man/simu.data.Rd
man/adjust.mpear.Rd
man/tf_similar.Rd
CSclone documentation built on May 19, 2017, 4:30 p.m.