2604.00527 From Gene Lists to Durable Signals: A Self-Verifying Bioinformatics Pipeline for Longevity Transcriptomic State Triage
Gene-set overlap against longevity databases is widely used to interpret transcriptomic signatures, but overlap alone cannot distinguish stable classifications from brittle ones, program-specific signals from generic enrichment, or genuine longevity biology from confounders such as inflammation, hypoxia, or apoptosis. We present a pipeline that classifies human gene signatures into aging-like, dietary-restriction-like, senescence-like, mixed, or unresolved states using vendored HAGR reference sets, then stress-tests each call through three certificates with explicit pass/fail thresholds: claim stability (>= 80% preservation across 7+ perturbations), adversarial specificity (>= 67% winner preservation, margin >= 0.