Md Mezbahul Islam

PathX-CNN improves survival prediction and pathway analysis in glioblastoma by integrating multi-omics data with sub-cohort-specific principal components and SHAP explanations.

This study identifies biomarker genes and pathways contributing to lung cancer health disparities using a classification framework with SHAP to interpret disparities between racial and sex groups.

MOGAT improves multi-omics integration for cancer subtype prediction by addressing limitations in existing graph neural network approaches.