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.

Version: 1.0
Depends: lpSolve, mcclust, moments, DNAcopy, stats, R (≥ 2.10)
Published: 2016-11-12
Author: Peter Wu
Maintainer: Peter Wu <peter123wu0 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: CSclone results


Reference manual: CSclone.pdf
Package source: CSclone_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: CSclone_1.0.tgz
OS X Mavericks binaries: r-oldrel: CSclone_1.0.tgz


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