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-4.5)CSclone_1.0.zip(r-4.4)CSclone_1.0.zip(r-4.3)
CSclone_1.0.tgz(r-4.4-any)CSclone_1.0.tgz(r-4.3-any)
CSclone_1.0.tar.gz(r-4.5-noble)CSclone_1.0.tar.gz(r-4.4-noble)
CSclone_1.0.tgz(r-4.4-emscripten)CSclone_1.0.tgz(r-4.3-emscripten)
CSclone.pdf |CSclone.html
CSclone/json (API)

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

Peer review:

On CRAN:

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 148 downloads 6 exports 4 dependencies

Last updated 8 years agofrom:e1c28eacf0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:adjust.mpearCScloneHammingl.ssimu.datatf_similar

Dependencies:DNAcopylpSolvemcclustmoments