Computational models for clinical drug response prediction: aligning transcriptomic data of patients and pre-clinical models

S.M.C. Mourragui

Research output: Thesis › Dissertation (TU Delft)

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2021
Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning
Mourragui, S. M. C., Loog, M., Vis, D. J., Moore, K., Manjon, A. G., van de Wiel, M. A., Reinders, M. J. T. & Wessels, L. F. A., 2021, In: Proceedings of the National Academy of Sciences of the United States of America. 118, 49, 12 p., e2106682118.
Research output: Contribution to journal › Article › Scientific › peer-review
11 Citations (Scopus)
2019
PRECISE: A domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors
Mourragui, S., Loog, M., van der Wiel, M. A., Reinders, M. & Wessels, L., 2019, In: Bioinformatics. 35, 14, p. i510-i519 10 p., btz372.
Research output: Contribution to journal › Article › Scientific › peer-review

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31 Citations (Scopus)

125 Downloads (Pure)

Research output