S.M.C. Mourragui (2023), Computational models for clinical drug response prediction: aligning transcriptomic data of patients and pre-clinical models, PhD Thesis Delft University of Technology.

Jianzhu Ma , Samson H. Fong, Yunan Luo, Christopher J. Bakkenist, John Paul Shen, Soufiane Mourragui, Lodewyk F.A. Wessels, Marc Hafner, Roded Sharan, Peng Jiang, Trey Ideker (2021), Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients, In Nature Cancer Volume 2 p.233-244.

Soufiane M.C. Mourragui, Marco Loog, Daniel J. Vis, Kat Moore, Anna G. Manjon, Mark A. van de Wiel, Marcel J.T. Reinders, Lodewyk F.A. Wessels (2021), Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning, In Proceedings of the National Academy of Sciences of the United States of America Volume 118.

Tamim Abdelaal, Soufiane Mourragui, Ahmed Mahfouz, Marcel J.T. Reinders (2020), SpaGE: Spatial Gene Enhancement using scRNA-seq, In Nucleic Acids Research Volume 48.

Soufiane Mourragui, Marco Loog, Mark A. van der Wiel, Marcel Reinders, Lodewyk Wessels (2019), PRECISE: A domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors, In Bioinformatics Volume 35 p.i510-i519.