Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation
Published in International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), 2026
Identifying rare disease-associated cell subsets in single-cell data is most powerful when several institutions pool their cohorts, but the underlying patient data cannot be shared. This short paper presents a secure multi-party computation approach that detects such rare cell subsets across distributed datasets while keeping every party’s input private throughout the computation.
Recommended citation: Mağara, Ş. S., Havemann, E., Jutz, D., Ünal, A. B., & Akgün, M. (2026). Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation. In International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB). https://arxiv.org/abs/2608.20118
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