FedEdgeR: federated and privacy-preserving edgeR for differential gene expression analysis
FedEdgeR is presented, a federated edgeR implementation protected by secure multi-party computation (SMPC), covering IRLS GLM fitting, three-level dispersion estimation, and the likelihood-ratio test, which consistently outperforms Fisher, Stouffer, random-effects, and RankProd meta-analysis on every tested dataset.
Xun Song, Zhi Wei
· bioRxiv · 0 citations