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BCSub  

A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering)
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]
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 22 Dec. 2024.
Previous versions and publish date:
0.2 (2016-10-29 10:48), 0.3 (2017-01-20 10:47)
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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