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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Published on: December 7, 2021

ExpressionView--an interactive viewer for modules identified in gene expression data.

Andreas Lüscher1, Gábor Csárdi, Aitana Morton de Lachapelle

  • 1Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.

Bioinformatics (Oxford, England)
|July 31, 2010
PubMed
Summary
This summary is machine-generated.

ExpressionView is a new R package for exploring gene expression data. It visually summarizes transcription modules, allowing users to interactively analyze gene expression patterns and associated biological metadata.

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Last Updated: Jun 10, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Published on: December 22, 2017

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Gene expression data analysis presents challenges in visualizing complex transcription modules.
  • Existing tools may lack intuitive interfaces for exploring module-specific expression patterns and metadata.

Purpose of the Study:

  • To introduce ExpressionView, an R package designed for interactive exploration of gene expression data.
  • To provide a visually intuitive environment for understanding transcription modules and their associated biological information.

Main Methods:

  • Development of an R package named ExpressionView.
  • Implementation of a sophisticated ordering algorithm for module presentation.
  • Integration of interactive graphical environment for data exploration.

Main Results:

  • ExpressionView offers a visually appealing layout for summarizing gene expression data.
  • The package enables users to intuitively grasp relationships within transcription modules.
  • Users can easily select individual modules to access relevant biological metadata.

Conclusions:

  • ExpressionView facilitates the exploration of transcription modules in gene expression data.
  • The R package provides an interactive and visually informative approach to data analysis.
  • It enhances the understanding of biological relevance by linking expression patterns to metadata.