Article
Private information leakage from single-cell count matrices.
Cell - 14 Nov 2024
Walker Conor R, Li Xiaoting, Chakravarthy Manav, Lounsbery-Scaife William, Choi Yoolim A, Singh Ritambhara, Gürsoy Gamze
Abstract excerpt
The increase in publicly available human single-cell datasets, encompassing millions of cells from many donors, has significantly enhanced our understanding of complex biological processes. However, the accessibility of these datasets raises significant privacy concerns. Due to the inherent noise in single-cell measurements and the scarcity of population-scale single-cell datasets, recent private information...
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