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Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards
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Privacy of single-cell gene expression data
1Department of Biomedical Informatics & Data Science, Yale School of Medicine, New Haven CT 06510, USA.
Patterns (New York, N.Y.)
|November 21, 2024
Abstract:
The possibility that single-cell gene expression datasets could leak information about individuals' genotypes has been largely unexplored. Walker et al. showed that even noisy genotype predictions derived from these data can be linked to the corresponding genotype profiles with significant accuracy.
