Package: CSclone 1.0

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.

Authors:Peter Wu <[email protected]>

CSclone_1.0.tar.gz
CSclone_1.0.zip(r-4.7-any)CSclone_1.0.zip(r-4.6-any)CSclone_1.0.zip(r-4.5-any)
CSclone_1.0.tgz(r-4.6-any)CSclone_1.0.tgz(r-4.5-any)
CSclone_1.0.tar.gz(r-4.7-any)CSclone_1.0.tar.gz(r-4.6-any)
CSclone_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CSclone/json (API)

# Install 'CSclone' in R:
install.packages('CSclone', repos = c('https://tsungyuwu.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 300 downloads 6 exports 4 dependencies

Last updated from:e1c28eacf0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK130
source / vignettesOK160
linux-releaseOK85
macos-releaseOK136
macos-oldrelOK161
windows-develOK63
windows-releaseOK61
windows-oldrelOK63
wasm-releaseOK90

Exports:adjust.mpearCScloneHammingl.ssimu.datatf_similar

Dependencies:DNAcopylpSolvemcclustmoments