Piyush Borole

This paper reports on the fourth CAFA challenge, showing improvements in Gene Ontology term prediction but highlighting challenges in new evaluation settings.

The paper expands the concept of MHC Class I peptide binding promiscuity to support vaccine discovery across cancers by analyzing data from 2,323 samples.

The paper proposes ConSurv, a model that balances interpretability and accuracy in cancer survival analysis using gene expression and clinical data from breast cancer patients.

The paper introduces MHCXAI, an explainable AI framework to interpret deep learning predictors of MHC class I peptide presentation, validating explanations against ground truth and robustness.