Privacy of single-cell gene expression data
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....
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Veröffentlicht in: | Patterns (New York, N.Y.) N.Y.), 2024-11, Vol.5 (11), p.101096, Article 101096 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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.
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. |
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ISSN: | 2666-3899 2666-3899 |
DOI: | 10.1016/j.patter.2024.101096 |