Privacy of single-cell gene expression data

被引：0
|
作者：
Cho, Hyunghoon [1 ,2 ]
机构：
[1] Yale Sch Med, Dept Biomed Informat & Data Sci, New Haven, CT 06510 USA
[2] Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA
来源：
PATTERNS | 2024年 / 5卷 / 11期
关键词：
Compendex;
D O I：
10.1016/j.patter.2024.101096
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页数：2
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