GSOAP: a tool for visualization of gene set over-representation analysis

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Gene sets over-representation analysis (GSOA) is a widely used enrichment analysis technique.
• GSOA measures the overlap between gene sets and biological instances like pathways.
• A lack of standardized visualization methods hinders the interpretation of GSOA results.

Purpose of the Study:

• To propose a novel approach for the visual exploration of GSOA results.
• To develop a tool that illustrates relationships among enriched instances.
• To highlight key attributes of enriched instances, including significance, centrality, and clustering.

Main Methods:

• Development of the GSOAP R package.
• Implementation of visualization techniques to represent GSOA outcomes.
• Integration of methods to display instance significance, closeness (centrality), and clustering.

Main Results:

• A new R package, GSOAP, is introduced for GSOA visualization.
• The package enables visual exploration of relationships between enriched instances.
• Key instance attributes like significance, centrality, and clustering are highlighted.

Conclusions:

• GSOAP provides a standardized and effective method for visualizing GSOA results.
• The package facilitates a deeper understanding of enrichment analysis outcomes.
• Visual exploration aids in interpreting complex biological data and identifying key patterns.