Work

Privacy of single-cell gene expression data

Year: 2024

Type: article

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.

Source: Patterns

DOI: 10.1016/j.patter.2024.101096

Author: Hyunghoon Cho

Institution: Yale University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $4,900

Funder: NIH Office of the Director