Integrative machine learning reveals hidden and emerging co-regulatory gene networks for multi-phase glioblastoma outcome prediction

Overall, our findings through the computational approach underscore the significance of co-regulatory gene networks in GBM biology. It also demonstrates how integrating transcriptomic and protein-level interactions can refine prognostic modeling, advance biomarker discovery, and inform future therapeutic development.