FedEdgeR: federated and privacy-preserving edgeR for differential gene expression analysis.

Song X, Wei Z

DOI: 10.64898/2026.09.17.752480
Published: 2026 Sep 24
Container: bioRxiv : the preprint server for biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.64898/2026.09.17.752480,
  title = {FedEdgeR: federated and privacy-preserving edgeR for differential gene expression analysis.},
  author = {Song X and Wei Z},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.64898/2026.09.17.752480},
  url = {https://doi.org/10.64898/2026.09.17.752480}
}

RIS

TY  - JOUR
TI  - FedEdgeR: federated and privacy-preserving edgeR for differential gene expression analysis.
AU  - Song X
AU  - Wei Z
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.64898/2026.09.17.752480
UR  - https://doi.org/10.64898/2026.09.17.752480
ER  -

APA

X, S., & Z, W. (2026). FedEdgeR: federated and privacy-preserving edgeR for differential gene expression analysis.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.09.17.752480

Source records

pubmed · retrieved 2026-11-10T11:22:50.063Z
europe-pmc · retrieved 2026-11-10T11:22:50.074Z