Predicting clinical drug response from model systems by non-linear subspace-based transfer learning
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat Moore, Anna G. Manjón, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F.A. Wessels
The paper develops TRANSACT, a transfer learning framework for predicting clinical drug response, outperforming existing methods on multiple datasets.
Proceedings of the National Academy of Sciences · Dec 3, 2021Peer-reviewedBioinformatics