Dona Hasini Gammune

This paper introduces SurvMOCA-GNN, a multi-omics integration framework that improves patient stratification in AML by incorporating biological networks and clinical data.

SurvMarker identifies survival-associated molecular features using PCA-based weighted scoring and provides an R package with documentation and examples.

The paper identifies gene and miRNA biomarkers for AML risk stratification using PCA and SVM, validated across cohorts with high AUCs and regulatory insights.