2 papers
stat.ML2026
Amortized Bayesian Causal Discovery of Extended Factor Graphs
Yichen Gu, Yuxuan Song, Weizhou Qian +2
Learning causal graphs from interventional data is a challenging problem with broad applications. In molecular biology, for example, a central goal is to uncover gene regulatory ne…
q-bio.BM2024
PROflow: An iterative refinement model for PROTAC-induced structure prediction
Bo Qiang, Wenxian Shi, Yuxuan Song +1
Proteolysis targeting chimeras (PROTACs) are small molecules that trigger the breakdown of traditionally ``undruggable'' proteins by binding simultaneously to their targets and deg…