Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD. - Yannick Marcon; Tom Bishop; Demetris Avraam; Xavier Escriba-Montagut; Patricia Ryser-Welch; Stuart Wheater; Paul R. Burton; Juan R. González (PLoS Comput. Biol., 2021)

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. - Han Cao 001; Youcheng Zhang; Jan Baumbach; Paul R. Burton; Dominic B. Dwyer; Nikolaos Koutsouleris; Julian O. Matschinske; Yannick Marcon; Sivanesan Rajan; Thilo Rieg; Patricia Ryser-Welch; Julian Späth; et al. (Bioinform., 2022)

Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform. - Xavier Escriba-Montagut; Yannick Marcon; Augusto Anguita-Ruiz; Demetris Avraam; Jose Urquiza; Andrei S. Morgan; Rebecca C. Wilson; Paul R. Burton; Juan R. González (PLoS Comput. Biol., 2024)