使FedProt

Yuliya Burankova1,2, Miriam Abele3,4, Mohammad Bakhtiari5

  • 1Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany. yuliya.burankova@tum.de.

PubMed
概括

通过FedProt,可以在各个机构进行保护隐私的蛋白质组分析. 这种联合学习工具确保了准确的差异蛋白质量化,而不会影响患者数据的隐私.