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ProteomicsFederated deep learning enables cancer subtyping by proteomics
Artificial intelligence (AI) applications in biomedical settings face challenges such as data privacy and regulatory compliance. Federated Deep Learning (FDL) effectively addresses these issues. We developed ProCanFDL, where local models were trained on simulated sites using proteomic data drawn fro...
ORGANISM(S): Homo sapiens (Human) 
2025-05-29 | PXD056810 | Pride
Procanfdl Pan-cancer Human Swath-ms Proteomics Federated deep learning 
UnknownFederated Deep Learning Enables Cancer Subtyping by Proteomics.
Not available
S-EPMC12409279 | biostudies-literature
UnknownCreation of a federated database of blood proteins: a powerful new tool for finding and characterizing biomarkers in serum.
Not available
S-EPMC4015845 | biostudies-literature
ProteomicsRing study of patients suffering from focal segmental glomerulosclerosis as a proof of concept for federated proteomics.
Quantitative mass spectrometry has transformed proteomics by allowing the simultaneous quantification of thousands of proteins. To boost statistical power, it is necessary to increase sample sizes by combining patient-derived data from various institutions. However, this practice raises significant ...
ORGANISM(S): Homo sapiens (Human) 
2024-08-08 | PXD053560 | Pride
Focal segmental glomerulosclerosis Serum Federated proteomics Kidney Federated learning 
UnknownSynthetic plasma pool cohort correction for affinity-based proteomics datasets allows multiple study comparison.
Not available
S-EPMC11653412 | biostudies-literature
UnknownPrivacy-preserving multicenter differential protein abundance analysis with FedProt.
Not available
S-EPMC12374843 | biostudies-literature
ProteomicsMulti-center study of E.coli colonies as a proof of concept for federated proteomics.
Quantitative mass spectrometry has transformed proteomics by allowing the simultaneous quantification of thousands of proteins. To boost statistical power, it is necessary to increase sample sizes by combining patient-derived data from various institutions. However, this practice raises significant ...
ORGANISM(S): Escherichia coli 
2025-04-29 | PXD053812 | Pride
E.coli Dia-lfq 
UnknownThe neXtProt knowledgebase in 2020: data, tools and usability improvements.
Not available
S-EPMC7145669 | biostudies-literature
UnknownExtension of the sasCIF format and its applications for data processing and deposition.
Not available
S-EPMC4762569 | biostudies-literature
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