Research & Publications
Official publications, conference presentations, and academic research projects spanning cancer genomics, machine learning, and transcriptomics.
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Journal Article International Journal of Molecular Sciences (IJMS), Vol. 26, Issue 12
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.
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Research Internship Indian Institute of Technology, Roorkee (IIT Roorkee)
Comparative transcriptomic analysis across TCGA (n=815) and Indian cohorts (n=81), identifying CFH, DST, and COPZ2 as candidate universal biomarkers across subtypes.
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Conference Presentation Equinox: 4th Annual International Conference (Maitreyi College, New Delhi)
Paper presented at the Equinox 4th Annual International Conference on multi-study genomic meta-analysis for early detection of gastric cancer.