Article

FedPyDESeq2: a federated framework for bulk RNA-seq differential expression analysis

2024-12-10

Abstract excerpt

Large-scale transcriptomic studies are often limited by data silos and risks of privacy leakage, which may lead to missed clinical insights. Meta-analysis methods may be used to aggregate local results, but they induce lower statistical power and are particularly sensitive to heterogeneous settings. A recent paradigm in distributed computing, federated learning (FL) is a means of fitting models from siloed data, w...

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Literature Corpus work: b77ebc61-61a2-52b2-a2bb-2e00e9333039
DOI: 10.1101/2024.12.06.627138

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