A Multi-Omics Framework for Survival Mediation Analysis of High-Dimensional Proteogenomic Data
高维蛋白基因组数据的多组学生存中介分析框架
Survival analysis plays a crucial role in understanding time-to-event (survival) outcomes such as disease progression. Despite recent advancements in causal mediation frameworks for survival analysis, existing methods are typically based on Cox regression and primarily focus on a single exposure or individual omics layers, often overlooking multi-omics interplay. This limitation hinders the full potential of integrated biological insights. In this paper, we propose SMAHP, a…