Nowsheena

Integrating hypergraph representation learning and gradient-boosted classification for multi-omics glioblastoma gene prioritization: A multi-stage learning framework.

Cancer continues to be a significant worldwide health concern, mostly resulting from modifications in genetic material at the molecular level. The research introduces a hybrid system that integrates raw gene-level multi-omics features with pathway-derived hypergraph embeddings to prioritize glioblastoma genes. The prop...