NoisyFlow: differentially private optimal transport using neural networks for secure biomedical data sharing across multiple institutions.

Li Y, Khandekar N, Wang S, Khanna V, Sanker J, Gerstein MB

Open source

DOI
10.1093/bioinformatics/btag239
Published
2026 Jul 1
Container
Bioinformatics (Oxford, England)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1093/bioinformatics/btag239,
  title = {NoisyFlow: differentially private optimal transport using neural networks for secure biomedical data sharing across multiple institutions.},
  author = {Li Y and Khandekar N and Wang S and Khanna V and Sanker J and Gerstein MB},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag239},
  url = {https://doi.org/10.1093/bioinformatics/btag239}
}

RIS

TY  - JOUR
TI  - NoisyFlow: differentially private optimal transport using neural networks for secure biomedical data sharing across multiple institutions.
AU  - Li Y
AU  - Khandekar N
AU  - Wang S
AU  - Khanna V
AU  - Sanker J
AU  - Gerstein MB
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag239
UR  - https://doi.org/10.1093/bioinformatics/btag239
ER  - 

APA

Y, L., N, K., S, W., V, K., J, S., & MB, G. (2026). NoisyFlow: differentially private optimal transport using neural networks for secure biomedical data sharing across multiple institutions.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag239

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