Muhammad Nabeel Asim

This study harmonizes cross-platform gene expression data using three techniques, evaluates ML/DL classifiers, and applies XAI methods to identify interpretable biomarkers for cardiovascular diseases.

COMIC improves drug repurposing prediction with explainable pathways, achieving 9.55% better performance than existing methods on a large knowledge graph.

The paper introduces a kmerRP2vec feature representation method combined with CNN and RNN to predict miRNA subcellular locations, outperforming existing methods on a public dataset.