GAGE

"Generally Applicable Gene-set Enrichment" (GAGE) is an innovative gene set analysis (GSA) method designed to overcome the limitations of previous GSA approaches, notably their inability to handle datasets of varying sample sizes and experimental designs. Focusing on groups of related genes offers advantages such as increased robustness, sensitivity, and biological relevance compared to individual gene analyses. GAGE builds on these strengths by providing a versatile solution that applies to various gene expression datasets, regardless of their complexity.