goatea

GOATEA performs automated gene set enrichment analysis using the GOAT package to enable interactive exploration of GSEA results across multiple gene lists and comparisons.

Key Features:

• Pre-enrichment visualizations: Interactive Volcano and UpSet (overlap) plots enable exploration of input gene lists prior to enrichment testing.
• Post-enrichment visualizations: Interactive geneset dotplot, geneset treeplot, gene-effectsize heatmap, gene-geneset heatmap, and STRING database protein-protein-interactions network graph enable interpretation of enrichment results.
• Automated workflow support: Utility functions facilitate large-scale enrichment analysis across multiple gene lists and comparisons with flexible plotting and output options.

Scientific Applications:

• Gene set enrichment analysis: Automated GSEA workflows using the GOAT method enable systematic functional interpretation of differential expression results and other gene-level statistics.
• Multi-comparison functional genomics: Scalable analysis across multiple gene lists and experimental comparisons supports large-scale functional characterization studies.
• Protein interaction network integration: STRING database network visualization connects enrichment results to known protein-protein interaction contexts.

Methodology:

GOATEA implements the Geneset Ordinal Association Test (GOAT) method for enrichment analysis; specific computational steps are not detailed in the provided sources.