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
DOI: 10.32614/CRAN.package.CSclone
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:
macOS binaries: r-release (arm64): CSclone_1.0.tgz, r-oldrel (arm64): CSclone_1.0.tgz, r-release (x86_64): CSclone_1.0.tgz, r-oldrel (x86_64): CSclone_1.0.tgz


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