Zhumur Ghosh

The paper develops a cancer risk prediction model using lncRNA-SNP regulated gene expression for breast and ovarian cancer, highlighting previously overlooked genetic variants and their regulatory impact.

This paper develops E-InfertilityTest, an explainable AI model to classify infertile versus fertile sperm using transcriptomic data and provides gene-level explanations for predictions.

LncPTPred predicts lncRNA-protein interactions using CLIP-Seq data, outperforming existing tools and providing interaction segments for validation experiments.

SecDATA provides a secure data access protocol with a graph-based de novo transcript assembly method, outperforming existing tools in transcript reconstruction.