Establishing a computational classification framework for tumour-specific T-cells. University of Antwerp
This project aims to construct a computational framework to predict which T-cells can react to a tumour-associated epitope. Key problems that will be investigated are the optimal feature representation as well as the most performant classification strategy. As a proof-of-concept, we will apply the framework on a unique dataset generated by combining a tetramer assay with single cell sequencing.