Survival Mediation Analysis of High-Dimensional Proteogenomic Data
A function that returns adjusted p-values
A function that extracts coefficients.
A function that returns mediation-exposure matrix
A function that returns unadjusted p-values
A function that returns significant pathways.
SIS combo
Main function
Penalized mediation and outcome models
Post-hoc model
Select M-X pairs via SIS
SMAHP (pronounced as SOO-MAP) is a novel multi-omics framework for causal mediation analysis of high-dimensional proteogenomic data with survival outcomes. The full methodological details can be found in our recent preprint by Ahn S et al. (2025) <doi:10.48550/arXiv.2503.08606>.