Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification

SUMMARY: Federated learning enables collaboration in medicine, where data is scattered across multiple centers without the need to aggregate the data in a central cloud. While, in general, machine learning models can be applied to a wide range of data types, graph neural networks (GNNs) are particul...

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Detalles Bibliográficos
Autores principales: Pfeifer, Bastian, Chereda, Hryhorii, Martin, Roman, Saranti, Anna, Clemens, Sandra, Hauschild, Anne-Christin, Beißbarth, Tim, Holzinger, Andreas, Heider, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684359/
https://www.ncbi.nlm.nih.gov/pubmed/37988152
http://dx.doi.org/10.1093/bioinformatics/btad703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684359/
https://www.ncbi.nlm.nih.gov/pubmed/37988152
http://dx.doi.org/10.1093/bioinformatics/btad703

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