Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform.

MLA

Escriba-Montagut, Xavier, et al. “Federated Privacy-Protected Meta- and Mega-Omics Data Analysis in Multi-Center Studies with a Fully Open-Source Analytic Platform.” PLoS Computational Biology, vol. 20, no. 12, Dec. 2024, pp. 1–22. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1012626.

APA

Escriba-Montagut, X., Marcon, Y., Anguita-Ruiz, A., Avraam, D., Urquiza, J., Morgan, A. S., Wilson, R. C., Burton, P., & Gonzalez, J. R. (2024). Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform. PLoS Computational Biology, 20(12), 1–22. https://doi.org/10.1371/journal.pcbi.1012626

Chicago

Escriba-Montagut, Xavier, Yannick Marcon, Augusto Anguita-Ruiz, Demetris Avraam, Jose Urquiza, Andrei S. Morgan, Rebecca C. Wilson, Paul Burton, and Juan R. Gonzalez. 2024. “Federated Privacy-Protected Meta- and Mega-Omics Data Analysis in Multi-Center Studies with a Fully Open-Source Analytic Platform.” PLoS Computational Biology 20 (12): 1–22. doi:10.1371/journal.pcbi.1012626.