AI RESEARCH
Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
arXiv CS.LG
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ArXi:2605.10196v1 Announce Type: new High-throughput gene perturbation experiments can test several genetic interventions in parallel, yet experimental budgets remain limited. A central goal is hit discovery: identifying as many perturbations as possible whose phenotypic effect exceeds a predefined threshold. Pure exploration strategies are statistically inefficient, wasting budget on low-value regions. Bayesian optimization methods offer a principled alternative but target a single global optimum, over-exploiting dominant modes while neglecting other high-value regions.