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Bayesian network feature finder (BANFF): an R package for gene network feature selection.

Zhou Lan1, Yize Zhao2, Jian Kang3

  • 1Department of Statistics, North Carolina State University, Raleigh, NC 27695-8203, USA.

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We developed the Bayesian Network Feature Finder (BANFF) R package for network-based feature selection. BANFF extends existing methods for biological network analysis and disease pathology research.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Network marker selection is crucial for understanding biological mechanisms and disease pathologies.
  • Bayesian nonparametric mixture models have shown success in gene and gene sub-network selection.
  • A unified approach for general large-scale network feature selection and a user-friendly software package are needed.

Purpose of the Study:

  • To extend Bayesian nonparametric mixture models for network-based feature selection.
  • To develop a generalizable method for analyzing large-scale biological networks.
  • To create an easy-to-use software package for researchers.

Main Methods:

  • Developed the Bayesian Network Feature Finder (BANFF) R package.
  • Extended the Bayesian nonparametric mixture model to a more general form.
  • Implemented parallel computing for Markov chain Monte Carlo (MCMC)-based posterior inference.
  • Incorporated an expectation maximization (EM)-based algorithm for posterior approximation.

Main Results:

  • BANFF provides posterior inference, model comparison, and graphical illustration of model fitting.
  • The package is designed for general large-scale network analysis.
  • Simulation studies demonstrate BANFF's utility in analyzing gene expression on protein-protein interaction networks.

Conclusions:

  • BANFF offers a powerful and flexible tool for network-based feature selection.
  • The R package facilitates the application of advanced Bayesian methods in bioinformatics.
  • BANFF aids in uncovering biological mechanisms and disease-related network markers.