CRAN/E | BCSub

BCSub

A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering)

Installation

About

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.

Key Metrics

Version 0.5
R ≥ 3.0
Published 2017-03-16 2570 days ago
Needs compilation? yes
License GPL-2
CRAN checks BCSub results

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Maintainer

Maintainer

Jiehuan Sun

jiehuan.sun@yale.edu

Authors

Jiehuan Sun

aut / cre

Joshua L. Warren

aut

Hongyu Zhao

aut

Material

Reference manual
Package source

Vignettes

BCSub

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BCSub archive

Depends

R ≥ 3.0
MASS ≥ 7.3-45
mcclust ≥ 1.0
nFactors ≥2.3.3

Imports

Rcpp ≥ 0.12.6

Suggests

knitr

LinkingTo

Rcpp
RcppArmadillo