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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:e1c28eacf0. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Adjust MPEAR | adjust.mpear |
Clustering model which contains the CNAs mutation and SNVs mutation. | CSclone |
Hamming distance | Hamming |
Linear relation for SNVs | l.s |
Simulate data | simu.data |
True or false of similar | tf_similar |