Iterative Gene Enrichment Analysis: interpretable networks for human and AI-assisted biological insights
Background Over-representation analysis (ORA) is widely used to interpret gene lists from high-throughput biological experiments. However, ORA often produces long and fragmented lists of enriched terms that are difficult to translate into coherent, testable biological hypotheses. This challenge is amplified by the rapi...