Yun Hao

Aug 30, 2024 | arxiv.org | Liu Wei |Liu Zhen |Yun Hao |Mengyuan Zhang

Jul 20, 2023 | ascpt.onlinelibrary.wiley.com | Yun Hao |Joseph Romano |Jason Moore |Elmarakeby HA

Abstract In computational toxicology, prediction of complex endpoints has always been challenging, as they often involve multiple distinct mechanisms. State-of-the-art models are either limited by low accuracy, or lack of interpretability due to their black-box nature. Here, we introduce AIDTox, an interpretable deep learning model which incorporates curated knowledge of chemical-gene connections, gene-pathway annotations, and pathway hierarchy.