Soufiane M. C. Mourragui

发表

Identifying commonalities between cell lines and tumors at the single cell level using Sobolev Alignment of deep generative models

M. Loog, M. Reinders, L. Wessels, 2022, bioRxiv.

SpaGE: Spatial Gene Enhancement using scRNA-seq

Ahmed Mahfouz, Soufiane Mourragui, Marcel J.T. Reinders, 2020, bioRxiv.

Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning

Kat S. Moore, M. Loog, M. Reinders, 2021, Proceedings of the National Academy of Sciences.

Predicting clinical drug response from model systems by non-linear subspace-based transfer learning

M. Loog, M. Reinders, L. Wessels, 2020, bioRxiv.

Predicting clinical drug response from model systems by non-linear subspace-based transfer learning

Marco Loog, Kat S. Moore, Mark A. van de Wiel, 2020, bioRxiv.

Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients

Roded Sharan, Jian Peng, Marc Hafner, 2021, Nature Cancer.

PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors

Marcel J. T. Reinders, Marco Loog, Lodewyk F. A. Wessels, 2019, bioRxiv.

Percolate: an exponential family JIVE model to design DNA-based predictors of drug response

M. Loog, M. Reinders, L. Wessels, 2022, bioRxiv.

Designing DNA-based predictors of drug response using the signal joint with gene expression

Wiel, M. Loog, M. Reinders, 2022 .

Paradoxical activation of oncogenic signaling as a cancer treatment strategy

R. Bernards, A. van Oudenaarden, R. Medema, 2023, bioRxiv.