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Related Experiment Video

Updated: Jan 1, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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shinyBN: an online application for interactive Bayesian network inference and visualization.

Jiajin Chen1, Ruyang Zhang1, Xuesi Dong2

  • 1Department of Biostatistics, School of Public Health, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.

BMC Bioinformatics
|December 18, 2019
PubMed
Summary
This summary is machine-generated.

We developed shinyBN, a user-friendly R/Shiny application for Bayesian network inference and visualization. This tool simplifies complex omics data analysis for biomedical researchers without programming skills.

Keywords:
Bayesian networkInferenceOnline toolR packageVisualization

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Data science

Background:

  • High-throughput technologies generate complex, high-dimensional biological data.
  • Bayesian networks model relationships in sparse omics data but are difficult to use.
  • Existing tools lack user-friendly interfaces for Bayesian network analysis.

Purpose of the Study:

  • To develop an accessible tool for Bayesian network inference and visualization.
  • To simplify the analysis of complex biological data for researchers.
  • To enable easy modeling, inference, and visualization of Bayesian networks.

Main Methods:

  • Developed an R/Shiny application named shinyBN.
  • Implemented a graphical user interface (GUI) for Bayesian network analysis.
  • Supported multiple input types and flexible network rendering and inference settings.

Main Results:

  • shinyBN provides an intuitive GUI for Bayesian network modeling and inference.
  • Users can download high-resolution network plots and prediction results.
  • The application facilitates the interpretation of complex biological data.

Conclusions:

  • shinyBN offers a user-friendly solution for Bayesian network analysis.
  • The application is accessible via R or online and compatible with major operating systems.
  • shinyBN democratizes Bayesian network modeling for a wider research community.