Paper presented at the Equinox 4th Annual International Conference on multi-study genomic meta-analysis for early detection of gastric cancer.

Comparative transcriptomic analysis across TCGA (n=815) and Indian cohorts (n=81), identifying CFH, DST, and COPZ2 as candidate universal biomarkers across subtypes.

A machine learning framework leveraging XGBoost feature ranking to discover robust genomic biomarkers across human cancer cohorts (breast cancer, lung cancer, and gastric cancer), attaining >90% classification accuracy.

An easy-to-follow tutorial on bulk RNA-seq