Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer
We proposed a new integrative framework designed to perform these three functions: (1) Predicting censored survival data. (2) Integrating meta-dimensional omics data. (3) Identifying interactions within/between multi-omic genomic features. Martingale residuals performed properly as a new continuous outcome.
breast cancer survival prediction data integration interaction between multi-omics data tcga