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BCSub
View on CRAN: Click
here
Download and install BCSub package within the R console
Install from CRAN:
install.packages("BCSub")
Install from Github:
library("remotes")
install_github("cran/BCSub")
Install by package version:
library("remotes")
install_version("BCSub", "0.5")
Attach the package and use:
library("BCSub")
Maintained by
Jiehuan Sun
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-29
Latest Update: 2017-03-16
Description:
Gene expression profiles are commonly utilized to infer disease
subtypes and many clustering methods can be adopted for this task.
However, existing clustering methods may not perform well when
genes are highly correlated and many uninformative genes are included
for clustering. To deal with these challenges, we develop a novel
clustering method in the Bayesian setting. This method, called BCSub,
adopts an innovative semiparametric Bayesian factor analysis model
to reduce the dimension of the data to a few factor scores for
clustering. Specifically, the factor scores are assumed to follow
the Dirichlet process mixture model in order to induce clustering.
How to cite:
Jiehuan Sun (2016). BCSub: A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering). R package version 0.5, https://cran.r-project.org/web/packages/BCSub. Accessed 06 Apr. 2025.
Other packages that cited BCSub R package
View BCSub citation profile
Other R packages that BCSub depends,
imports, suggests or enhances
Complete documentation for BCSub
Functions, R codes and Examples using
the BCSub R package
Some associated functions: BCSub . calSim . dmvnrm_arma . mvrnormArma . myfind . polyurncpp . samEta . samLamV3Cpp . samMu . samRho2 . samSig . samSige .
Some associated R codes: RcppExports.R . factor_DP_fun.R . Full BCSub package functions and examples
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