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CSclone  

Bayesian Nonparametric Modeling in R
View on CRAN: Click here


Download and install CSclone package within the R console
Install from CRAN:
install.packages("CSclone")

Install from Github:
library("remotes")
install_github("cran/CSclone")

Install by package version:
library("remotes")
install_version("CSclone", "1.0")



Attach the package and use:
library("CSclone")
Maintained by
Peter Wu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-12
Latest Update: 2016-11-12
Description:
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.
How to cite:
Peter Wu (2016). CSclone: Bayesian Nonparametric Modeling in R. R package version 1.0, https://cran.r-project.org/web/packages/CSclone. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited CSclone R package
View CSclone citation profile
Other R packages that CSclone depends, imports, suggests or enhances
Complete documentation for CSclone
Functions, R codes and Examples using the CSclone R package
Some associated functions: CSclone . Hamming . adjust.mpear . l.s . simu.data . tf_similar . 
Some associated R codes: CSclone.R . Hamming.R . adjust.mpear.R . l.s.R . simu.data.R . tf_similar.R .  Full CSclone package functions and examples
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Maintainer: Qi Qin (view profile)

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