Improving MatchMaker - A Deep Learning Based Drug Synergy Predictor

Drug combination therapies provides increased efficacy and are widely used for cancer therapies. However, experimentally searching combinations for synergistic interaction. We proposed a deep learning based model, MatchMaker that predicts drug synergy scores using drug chemical structure information and gene expression profiles of cell lines. The project will work on improving this model in various aspects.

The applicants should have experience using Deep Learning models.

Please contact otastan@sabanciuniv.edu for details with your CV and transcript.