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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BCSub" in publications use:'
type: software
license: GPL-2.0-only
title: 'BCSub: A Bayesian Semiparametric Factor Analysis Model for Subtype Identification
  (Clustering)'
version: '0.5'
doi: 10.32614/CRAN.package.BCSub
abstract: 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.
authors:
- family-names: Sun
  given-names: Jiehuan
  email: jiehuan.sun@yale.edu
- family-names: Warren
  given-names: Joshua L.
- family-names: Zhao
  given-names: Hongyu
repository: https://sunnypig1988.r-universe.dev
commit: fb54377669a68544412fce636fa111dcda4b06f6
date-released: '2017-03-16'
contact:
- family-names: Sun
  given-names: Jiehuan
  email: jiehuan.sun@yale.edu