PathMoG improves multi-omics cancer survival prediction by reorganizing data into pathway modules, conditioning representations with a hierarchical modulation module, and applying dual-level attention, yielding consistent gains over baselines on 10 TCGA cohorts.
Fgcnsurv: fine-grained cancer survival prediction by jointly learning feature representation and feature relations from multi-omics data.Bioinformatics, 39(8):btad472
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PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction
PathMoG improves multi-omics cancer survival prediction by reorganizing data into pathway modules, conditioning representations with a hierarchical modulation module, and applying dual-level attention, yielding consistent gains over baselines on 10 TCGA cohorts.