GenomicsbioRxivPreprint
High-Dimensional Sensitivity Analysis for Genomic Studies: An Adversarial Framework for Learning Worst-Case Latent Confounders
This paper introduces sensGAN, a deep-learning framework to identify worst-case latent confounders in genomics, improving sensitivity analysis for disease-associated gene associations.
DOI 10.64898/2026.05.27.728283