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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | CSclone_1.0.tar.gz |
10.3 KiB |
1.0 |
rolling linux/noble R-4.5 | CSclone_1.0.tar.gz |
10.3 KiB |
1.0 |
rolling source/ R- | CSclone_1.0.tar.gz |
10.3 KiB |
1.0 |
latest linux/jammy R-4.5 | CSclone_1.0.tar.gz |
10.3 KiB |
1.0 |
latest linux/noble R-4.5 | CSclone_1.0.tar.gz |
10.3 KiB |
1.0 |
latest source/ R- | CSclone_1.0.tar.gz |
10.3 KiB |
1.0 |
2026-04-26 source/ R- | CSclone_1.0.tar.gz |
10.3 KiB |
1.0 |
2026-04-23 source/ R- | CSclone_1.0.tar.gz |
10.3 KiB |
1.0 |
2025-04-20 source/ R- | CSclone_1.0.tar.gz |
10.3 KiB |