Article
Federated deep learning enables cancer subtyping by proteomics
2024-10-18
Abstract excerpt
Artificial intelligence applications in biomedicine face major challenges from data privacy requirements. To address this issue for clinically annotated tissue proteomic data, we developed a Federated Deep Learning (FDL) approach (ProCanFDL), training local models on simulated sites containing data from a pan-cancer cohort (n=1,260) and 29 cohorts held behind private firewalls (n=6,265), representing 19,930 replic...
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Identifiers and source
- Literature Corpus work
- 96363965-3dc2-5d53-a5ec-b59a09344ece
- DOI
- 10.1101/2024.10.16.618763
