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Project

Establishing a computational classification framework for tumour-specific T-cells.

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.
Date:1 Apr 2018 →  31 Mar 2019
Keywords:ONCOLOGY, BIOINFORMATICS, IMMUNOLOGY
Disciplines:Scientific computing, Bioinformatics and computational biology, Public health care, Public health services