Ramneek Gupta

This paper introduces RiboTIE, a transformer model for mapping RNA translation, showing high precision and sensitivity in normal and cancerous tissues.

The paper identifies shared genetic regulation across mRNA, proteins, and metabolites in blood, revealing networks and mediators of GWAS variants.

RIBO-former improves translated open reading frame detection using ribosome profiling data and transformer models, outperforming existing methods and identifying non-canonical ORFs and polycistronic mRNAs.

The paper introduces TIS Transformer, a deep learning model that improves the mapping of translation initiation sites in the human proteome by analyzing transcript sequences.

This study develops machine learning models to predict liver fat content using multi-omic and clinical data from NAFLD patients, achieving higher accuracy than existing tools.