BCSub

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

CRAN Package

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.

  • Version0.5
  • R version≥ 3.0
  • LicenseGPL-2
  • Needs compilation?Yes
  • Last release03/16/2017

Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends3 packages
  • Imports1 package
  • Suggests1 package
  • Linking To2 packages